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Books > Computing & IT > Computer software packages > Other software packages > Mathematical & statistical software

Advanced Sampling Methods (Hardcover, 1st ed. 2021): Raosaheb Latpate, Jayant Kshirsagar, Vinod Kumar Gupta, Girish Chandra Advanced Sampling Methods (Hardcover, 1st ed. 2021)
Raosaheb Latpate, Jayant Kshirsagar, Vinod Kumar Gupta, Girish Chandra
R2,016 Discovery Miles 20 160 Ships in 12 - 17 working days

This book discusses all major topics on survey sampling and estimation. It covers traditional as well as advanced sampling methods related to the spatial populations. The book presents real-world applications of major sampling methods and illustrates them with the R software. As a large sample size is not cost-efficient, this book introduces a new method by using the domain knowledge of the negative correlation between the variable of interest and the auxiliary variable in order to control the size of a sample. In addition, the book focuses on adaptive cluster sampling, rank-set sampling and their applications in real life. Advance methods discussed in the book have tremendous applications in ecology, environmental science, health science, forestry, bio-sciences, and humanities. This book is targeted as a text for undergraduate and graduate students of statistics, as well as researchers in various disciplines.

Computational Mathematics with SageMath (Paperback): Paul Zimmermann Computational Mathematics with SageMath (Paperback)
Paul Zimmermann
R2,134 Discovery Miles 21 340 Ships in 12 - 17 working days

SageMath, or Sage for short, is an open-source mathematical software system based on the Python language and developed by an international community comprising hundreds of teachers and researchers, whose aim is to provide an alternative to the commercial products Magma, Maple, Mathematica, and MATLAB (R). To achieve this, Sage relies on many open-source programs, including GAP, Maxima, PARI, and various scientific libraries for Python, to which thousands of new functions have been added. Sage is freely available and is supported by all modern operating systems. Sage provides a wonderful scientific and graphical calculator for high school students, and it efficiently supports undergraduates in their computations in analysis, linear algebra, calculus, etc. For graduate students, researchers, and engineers in various mathematical specialties, Sage provides the most recent algorithms and tools, which is why several universities around the world already use Sage at the undergraduate level. Computational Mathematics with SageMath, written by researchers and by teachers at the high school, undergraduate, and graduate levels, focuses on the underlying mathematics necessary to use Sage efficiently and is illustrated with concrete examples. Part I is accessible to high school and undergraduate students and Parts II, III, and IV are suitable for graduate students, teachers, and researchers. This book is available under a Creative Commons license at sagebook.gforge.inria.fr.

A MATLAB (R) Primer for Technical Programming for Materials Science and Engineering (Paperback): Leonid Burstein A MATLAB (R) Primer for Technical Programming for Materials Science and Engineering (Paperback)
Leonid Burstein
R3,113 Discovery Miles 31 130 Ships in 12 - 17 working days

A MATLAB (R) Primer for Technical Programming for Materials Science and Engineering draws on examples from the field, providing the latest information on this programming tool that is targeted towards materials science. The book enables non-programmers to master MATLAB (R) in order to solve problems in materials science, assuming only a modest mathematical background. In addition, the book introduces programming and technical concepts in a logical manner to help students use MATLAB (R) for subsequent projects. This title offers materials scientists who are non-programming specialists with a coherent and focused introduction to MATLAB (R).

A Gentle Introduction to Group Theory (Hardcover, 1st ed. 2023): Bana Al Subaiei, Muneerah Al Nuwairan A Gentle Introduction to Group Theory (Hardcover, 1st ed. 2023)
Bana Al Subaiei, Muneerah Al Nuwairan
R1,652 R1,475 Discovery Miles 14 750 Save R177 (11%) Ships in 9 - 15 working days

The book is intended to serve as an introductory course in group theory geared towards second-year university students. It aims to provide them with the background needed to pursue more advanced courses in algebra and to provide a rich source of examples and exercises. Studying group theory began in the late eighteenth century and is still gaining importance due to its applications in physics, chemistry, geometry, and many fields in mathematics. The text is broadly divided into three parts. The first part establishes the prerequisite knowledge required to study group theory. This includes topics in set theory, geometry, and number theory. Each of the chapters ends with solved and unsolved exercises relating to the topic. By doing this, the authors hope to fill the gaps between all the branches in mathematics that are linked to group theory. The second part is the core of the book which discusses topics on semigroups, groups, symmetric groups, subgroups, homomorphisms, isomorphism, and Abelian groups. The last part of the book introduces SAGE, a mathematical software that is used to solve group theory problems. Here, most of the important commands in SAGE are explained, and many examples and exercises are provided.

Computational Statistics with R, Volume 32 (Hardcover): Marepalli B Rao, C.R. Rao Computational Statistics with R, Volume 32 (Hardcover)
Marepalli B Rao, C.R. Rao
R4,538 Discovery Miles 45 380 Ships in 12 - 17 working days

R is open source statistical computing software. Since the R core group was formed in 1997, R has been extended by a very large number of packages with extensive documentation along with examples freely available on the internet. It offers a large number of statistical and numerical methods and graphical tools and visualization of extraordinarily high quality. R was recently ranked in 14th place by the Transparent Language Popularity Index and 6th as a scripting language, after PHP, Python, and Perl. The book is designed so that it can be used right away by novices while appealing to experienced users as well. Each article begins with a data example that can be downloaded directly from the R website. Data analysis questions are articulated following the presentation of the data. The necessary R commands are spelled out and executed and the output is presented and discussed. Other examples of data sets with a different flavor and different set of commands but following the theme of the article are presented as well. Each chapter predents a hands-on-experience. R has superb graphical outlays and the book brings out the essentials in this arena. The end user can benefit immensely by applying the graphics to enhance research findings. The core statistical methodologies such as regression, survival analysis, and discrete data are all covered.

German Success Stories in Industrial Mathematics (Hardcover, 1st ed. 2021): Hans Georg Bock, Karl-Heinz Kufer, Peter Maass,... German Success Stories in Industrial Mathematics (Hardcover, 1st ed. 2021)
Hans Georg Bock, Karl-Heinz Kufer, Peter Maass, Anja Milde, Volker Schulz
R2,939 Discovery Miles 29 390 Ships in 10 - 15 working days

This book should illustrate the impact of collaborations between mathematics and industry. It is both an initiative of and coordinated by the German Committee for Mathematical Modeling, Simulation and Optimization (KoMSO). This publication aims at comparing the state of the art at the intersection of mathematics and industry, as well as the demands for future development of science and technology in Germany and beyond. Each contribution addresses the importance of mathematics in innovation by means of introducing a successful cooperation with an industrial partner in order to display the wide range of industrial sectors where the use of mathematics is the crucial factor for success, but also show the variety of mathematical areas involved in these activities. The success stories introduced in this volume will be supplemented by appropriate illustrations. It is the goal of this publication to highlight cooperation between mathematics and industry as a two-way technology and knowledge transfer, providing industry with solutions and mathematics with new research topics and inspiring new methodologies.

Applied Statistics for Environmental Science with R (Paperback): Abbas F. M. Alkarkhi, Wasin A. A. Alqaraghuli Applied Statistics for Environmental Science with R (Paperback)
Abbas F. M. Alkarkhi, Wasin A. A. Alqaraghuli
R2,695 R2,513 Discovery Miles 25 130 Save R182 (7%) Ships in 12 - 17 working days

Applied Statistics for Environmental Science with R presents the theory and application of statistical techniques in environmental science and aids researchers in choosing the appropriate statistical technique for analyzing their data. Focusing on the use of univariate and multivariate statistical methods, this book acts as a step-by-step resource to facilitate understanding in the use of R statistical software for interpreting data in the field of environmental science. Researchers utilizing statistical analysis in environmental science and engineering will find this book to be essential in solving their day-to-day research problems.

Excel 2019 for Marketing Statistics - A Guide to Solving Practical Problems (Paperback, 2nd ed. 2021): Thomas J. Quirk, Eric... Excel 2019 for Marketing Statistics - A Guide to Solving Practical Problems (Paperback, 2nd ed. 2021)
Thomas J. Quirk, Eric Rhiney
R1,865 Discovery Miles 18 650 Ships in 12 - 17 working days

This book shows the capabilities of Microsoft Excel in teaching marketing statistics effectively. It is a step-by-step, exercise-driven guide for students and practitioners who need to master Excel to solve practical marketing problems. If understanding statistics isn't your strongest suit, you are not especially mathematically inclined, or if you are wary of computers, this is the right book for you.Excel, a widely available computer program for students and managers, is also an effective teaching and learning tool for quantitative analyses in marketing courses. Its powerful computational ability and graphical functions make learning statistics much easier than in years past. Excel 2019 for Marketing Statistics: A Guide to Solving Practical Problems capitalizes on these improvements by teaching students and managers how to apply Excel to statistical techniques necessary in their courses and work. In this new edition, each chapter explains statistical formulas and directs the reader to use Excel commands to solve specific, easy-to-understand marketing problems. Practice problems are provided at the end of each chapter with their solutions in an appendix. Separately, there is a full practice test (with answers in an appendix) that allows readers to test what they have learned.

Easy Statistics for Food Science with R (Paperback): Abbas F Mubarek Al-Karkhi, Wasin A. A. Alqaraghuli Easy Statistics for Food Science with R (Paperback)
Abbas F Mubarek Al-Karkhi, Wasin A. A. Alqaraghuli
R2,695 R2,513 Discovery Miles 25 130 Save R182 (7%) Ships in 12 - 17 working days

Easy Statistics for Food Science with R presents the application of statistical techniques to assist students and researchers who work in food science and food engineering in choosing the appropriate statistical technique. The book focuses on the use of univariate and multivariate statistical methods in the field of food science. The techniques are presented in a simplified form without relying on complex mathematical proofs. This book was written to help researchers from different fields to analyze their data and make valid decisions. The development of modern statistical packages makes the analysis of data easier than before. The book focuses on the application of statistics and correct methods for the analysis and interpretation of data. R statistical software is used throughout the book to analyze the data.

Essential First Steps to Data Analysis - Scenario-Based Examples Using SPSS (Paperback): Carol S. Parke Essential First Steps to Data Analysis - Scenario-Based Examples Using SPSS (Paperback)
Carol S. Parke
R1,159 Discovery Miles 11 590 Ships in 12 - 17 working days

The purpose of this book is to provide instruction and guidance on preparing quantitative data sets prior to answering a studyAEs research questions. Preparation may involve data management and manipulation tasks, data organization, structural changes to data files, or conducting preliminary analysis such as examining the scale of a variable, the validity of assumptions or the nature and extent of missing data. The oresultso from these essential first steps can also help guide a researcher in selecting the most appropriate statistical tests for his/her study. The book is intended to serve as a supplemental text in statistics or research courses offered in graduate programs in education, counseling, school psychology, behavioral sciences, and social sciences as well as undergraduate programs that contain a heavy emphasis on statistics. The content and issues covered are also beneficial for faculty and researchers who are knowledgeable about research design and able to use a statistical software package, but are unsure of the first steps to take with their data. Increasingly, faculty are forming partnerships with schools, clinics, and other institutions to help them analyze data in their extensive databases. This book can serve as a reference for helping them get existing data files in an appropriate form to run statistical analysis. This book is not a replacement for a statistics textbook. It assumes that readers have some knowledge of basic statistical concepts and use of statistical software, or that they will be learning these concepts and skills concurrently throughout the course. SPSS was chosen to illustrate the preparation, evaluation, and manipulation of data. However, students or researchers who do not use SPSS will benefit from the content since the overall structure and pedagogical approach of the book focuses heavily on the data issues and decisions to be made

Probabilita, Statistica E Simulazione - Programmi Applicativi Scritti in R (Italian, Paperback, 4th 2021 ed.): Alberto Rotondi,... Probabilita, Statistica E Simulazione - Programmi Applicativi Scritti in R (Italian, Paperback, 4th 2021 ed.)
Alberto Rotondi, Paolo Pedroni, Antonio Pievatolo
R1,394 Discovery Miles 13 940 Ships in 10 - 15 working days

Il libro contiene in forma compatta il programma svolto negli insegnamenti introduttivi di Statistica e tratta alcuni argomenti indispensabili per l'attivita di ricerca, come le tecniche di simulazione Monte Carlo, i metodi di inferenza statistica, di best fit e di analisi dei dati di laboratorio. Gli argomenti vengono sviluppati partendo dai fondamenti, evidenziandone gli aspetti applicativi, fino alla descrizione dettagliata di molti casi di particolare rilevanza in ambito scientifico e tecnico. Il testo e rivolto agli studenti universitari dei corsi ad indirizzo scientifico e a tutti quei ricercatori che devono risolvere problemi concreti che coinvolgono l'analisi dei dati e le tecniche di simulazione. In questa edizione, completamente rivista e corretta, sono stati aggiunti alcuni importanti argomenti sul test d'ipotesi (a cui e stato dedicato un capitolo interamente nuovo) e sul trattamento degli errori sistematici. Per la prima volta e stato adottato il software R, con una ricca libreria di programmi originali accessibile al lettore.

MATLAB for Medical Physics - Real-life Clinical Scenarios and Projects (Hardcover, 1st ed. 2023): Jidi Sun MATLAB for Medical Physics - Real-life Clinical Scenarios and Projects (Hardcover, 1st ed. 2023)
Jidi Sun
R4,129 Discovery Miles 41 290 Ships in 10 - 15 working days

This book gives the practical introduction for medical physics students and clinical physicists to learn MATLAB programming. The first part of the book explains the MATLAB software layout and ways to get help followed by the demonstration of the fundamentals of MATLAB programming through over 100 examples. The second part of the book features eighteen real-life clinical scenarios and projects and twenty-three scenario expansions. The scenarios cover many of the common clinical medical physics areas including DICOM file manipulation, film dosimetry, brachytherapy application, linear accelerator and CT quality assurance and their automations, medical image processing and analysis. All scenarios include the step-by-step solution as a guidance for readers to learn MATLAB by practicing. The data files (e.g. DICOM) used for all clinical scenarios are provided

Excel 2019 for Business Statistics - A Guide to Solving Practical Problems (Paperback, 2nd ed. 2020): Thomas J. Quirk Excel 2019 for Business Statistics - A Guide to Solving Practical Problems (Paperback, 2nd ed. 2020)
Thomas J. Quirk
R2,398 Discovery Miles 23 980 Ships in 10 - 15 working days

Newly revised to specifically provide demonstration in Excel 2019, this volume shows the capabilities of Microsoft Excel in business statistics. Similar to its predecessor, Excel 2016 for Business Statistics, it is a step-by-step, exercise-driven guide for students and practitioners who are looking to master Excel to solve practical business problems. Excel, a widely available computer program for students and professionals, is also an effective teaching and learning tool for quantitative analyses in business courses. Its powerful computational ability and graphical functions make learning statistics much easier than in years past. Excel 2019 for Business Statistics: A Guide to Solving Practical Problems capitalizes on these improvements by teaching students and managers how to apply Excel to statistical techniques necessary in their courses and work. Each chapter explains statistical formulas and directs the reader to use Excel commands to solve specific, easy-to-understand business problems. Practice problems are provided at the end of each chapter with their solutions in an appendix. Separately, there is a full practice test (with answers in an appendix) that allows readers to test what they have learned. This new edition offers a wealth of new sample problems, as well as updated chapter content throughout.

Excel Statistics - A Quick Guide (Paperback, 3rd Revised edition): Neil J Salkind Excel Statistics - A Quick Guide (Paperback, 3rd Revised edition)
Neil J Salkind
R939 Discovery Miles 9 390 Ships in 12 - 17 working days

Ideal for those already familiar with basic Excel features, this updated Third Edition of Neil J. Salkind's Excel Statistics: A Quick Guide shows readers how to utilize Microsoft (R) Excel's functions and Analysis ToolPak to answer simple and complex questions about data. Part I explores 35 Excel functions, while Part II contains 20 Analysis ToolPak tools. To make it easy to see what each function or tool looks like when applied, at-a-glance two-page spreads describe each function and its use with corresponding screenshots. In addition, actual data files used in the examples are readily available online at an open-access Student Study Site.

Stress Testing and Risk Integration in Banks - A Statistical Framework and Practical Software Guide (in Matlab and R)... Stress Testing and Risk Integration in Banks - A Statistical Framework and Practical Software Guide (in Matlab and R) (Hardcover)
Tiziano Bellini
R2,182 R1,920 Discovery Miles 19 200 Save R262 (12%) Ships in 12 - 17 working days

Stress Testing and Risk Integration in Banks provides a comprehensive view of the risk management activity by means of the stress testing process. An introduction to multivariate time series modeling paves the way to scenario analysis in order to assess a bank resilience against adverse macroeconomic conditions. Assets and liabilities are jointly studied to highlight the key issues that a risk manager needs to face. A multi-national bank prototype is used all over the book for diving into market, credit, and operational stress testing. Interest rate, liquidity and other major risks are also studied together with the former to outline how to implement a fully integrated risk management toolkit. Examples, business cases, and exercises worked in Matlab and R facilitate readers to develop their own models and methodologies.

Geophysical Data Analysis: Discrete Inverse Theory, Volume 45 - MATLAB Edition (Paperback, 3rd edition): William Menke Geophysical Data Analysis: Discrete Inverse Theory, Volume 45 - MATLAB Edition (Paperback, 3rd edition)
William Menke
R1,788 Discovery Miles 17 880 Ships in 12 - 17 working days

Since 1984, Geophysical Data Analysis has filled the need for a short, concise reference on inverse theory for individuals who have an intermediate background in science and mathematics. The new edition maintains the accessible and succinct manner for which it is known, with the addition of: MATLAB examples and problem sets Advanced color graphics Coverage of new topics, including Adjoint Methods; Inversion by Steepest Descent, Monte Carlo and Simulated Annealing methods; and Bootstrap algorithm for determining empirical confidence intervals

An Introduction to R - Data Analysis and Visualization (Paperback): Mark Gardener An Introduction to R - Data Analysis and Visualization (Paperback)
Mark Gardener
R1,244 Discovery Miles 12 440 Ships in 9 - 15 working days

The modern world is awash with data. The R Project is a statistical environment and programming language that can help to make sense of it all. A huge open-source project, R has become enormously popular because of its power and flexibility. With R you can organise, analyse and visualise data. This clear and methodical book will help you learn how to use R from the ground up, giving you a start in the world of data science. Learning about data is important in many academic and business settings, and R offers a potent and adaptable programming toolbox. The book covers a range of topics, including: importing/exporting data, summarising data, visualising data, managing and manipulating data objects, data analysis (regression, ANOVA and association among others) and programming functions. Regardless of your background or specialty, you'll find this book the perfect primer on data analysis, data visualisation and data management, and a springboard for further exploration.

Building SPSS Graphs to Understand Data (Paperback, New): James O. Aldrich, Hilda M. Rodriguez Building SPSS Graphs to Understand Data (Paperback, New)
James O. Aldrich, Hilda M. Rodriguez
R1,663 Discovery Miles 16 630 Ships in 9 - 15 working days

Building SPSS Graphs to Understand Data is for anyone needing to understand large or small amounts of data. It describes how to build and interpret graphs, showing how understanding data means that the graph must clearly and succinctly answer questions about the data. In 16 of the 19 chapters research questions are presented, and the reader builds the appropriate graph needed to answer the questions. This handy guide can be used in conjunction with any introductory or intermediate statistics book where the focus is on in-depth presentation of how graphs are used. This book will also useful for graduate students doing research at the masters or doctoral level. The book also contains a chapter designed to address many of the ways that graphs can be used to mislead the graph reader.

Analyzing Qualitative Data with MAXQDA - Text, Audio, and Video (Hardcover, 1st ed. 2019): Udo Kuckartz, Stefan Radiker Analyzing Qualitative Data with MAXQDA - Text, Audio, and Video (Hardcover, 1st ed. 2019)
Udo Kuckartz, Stefan Radiker
R2,205 R2,049 Discovery Miles 20 490 Save R156 (7%) Ships in 9 - 15 working days

This book presents strategies for analyzing qualitative and mixed methods data with MAXQDA software, and provides guidance on implementing a variety of research methods and approaches, e.g. grounded theory, discourse analysis and qualitative content analysis, using the software. In addition, it explains specific topics, such as transcription, building a coding frame, visualization, analysis of videos, concept maps, group comparisons and the creation of literature reviews. The book is intended for masters and PhD students as well as researchers and practitioners dealing with qualitative data in various disciplines, including the educational and social sciences, psychology, public health, business or economics.

IBM SPSS Statistics 26 Step by Step - A Simple Guide and Reference (Paperback, 16th edition): Darren George, Paul Mallery IBM SPSS Statistics 26 Step by Step - A Simple Guide and Reference (Paperback, 16th edition)
Darren George, Paul Mallery
R1,868 Discovery Miles 18 680 Ships in 9 - 15 working days

IBM SPSS Statistics 26 Step by Step: A Simple Guide and Reference, sixteenth edition, takes a straightforward, step-by-step approach that makes SPSS software clear to beginners and experienced researchers alike. Extensive use of four-color screen shots, clear writing, and step-by-step boxes guide readers through the program. Output for each procedure is explained and illustrated, and every output term is defined. Exercises at the end of each chapter support students by providing additional opportunities to practice using SPSS. This book covers the basics of statistical analysis and addresses more advanced topics such as multi-dimensional scaling, factor analysis, discriminant analysis, measures of internal consistency, MANOVA (between- and within-subjects), cluster analysis, Log-linear models, logistic regression and a chapter describing residuals. Back matter includes a description of data files used in exercises, an exhaustive glossary, suggestions for further reading and a comprehensive index. IMB SPSS Statistics 26 Step by Step is distributed in 85 countries, has been an academic best seller through most of the earlier editions, and has proved invaluable aid to thousands of researchers and students. New to this edition: Screenshots, explanations, and step-by-step boxes have been fully updated to reflect SPSS 26 How to handle missing data has been revised and expanded and now includes a detailed explanation of how to create regression equations to replace missing data More explicit coverage of how to report APA style statistics; this primarily shows up in the Output sections of Chapters 6 through 16, though changes have been made throughout the text.

Discovering Statistics Using R (Hardcover, New): Andy Field, Jeremy Miles, Zoe Field Discovering Statistics Using R (Hardcover, New)
Andy Field, Jeremy Miles, Zoe Field
R4,310 Discovery Miles 43 100 Ships in 12 - 17 working days

Keeping the uniquely humorous and self-deprecating style that has made students across the world fall in love with Andy Field's books, Discovering Statistics Using R takes students on a journey of statistical discovery using R, a free, flexible and dynamically changing software tool for data analysis that is becoming increasingly popular across the social and behavioural sciences throughout the world. The journey begins by explaining basic statistical and research concepts before a guided tour of the R software environment. Next you discover the importance of exploring and graphing data, before moving onto statistical tests that are the foundations of the rest of the book (for example correlation and regression). You will then stride confidently into intermediate level analyses such as ANOVA, before ending your journey with advanced techniques such as MANOVA and multilevel models. Although there is enough theory to help you gain the necessary conceptual understanding of what you're doing, the emphasis is on applying what you learn to playful and real-world examples that should make the experience more fun than you might expect. Like its sister textbooks, Discovering Statistics Using R is written in an irreverent style and follows the same ground-breaking structure and pedagogical approach. The core material is augmented by a cast of characters to help the reader on their way, together with hundreds of examples, self-assessment tests to consolidate knowledge, and additional website material for those wanting to learn more. Given this book's accessibility, fun spirit, and use of bizarre real-world research it should be essential for anyone wanting to learn about statistics using the freely-available R software.

Matrix Algorithms in MATLAB (Paperback): Ong U. Routh Matrix Algorithms in MATLAB (Paperback)
Ong U. Routh
R2,538 Discovery Miles 25 380 Ships in 12 - 17 working days

Matrix Algorithms in MATLAB focuses on the MATLAB code implementations of matrix algorithms. The MATLAB codes presented in the book are tested with thousands of runs of MATLAB randomly generated matrices, and the notation in the book follows the MATLAB style to ensure a smooth transition from formulation to the code, with MATLAB codes discussed in this book kept to within 100 lines for the sake of clarity. The book provides an overview and classification of the interrelations of various algorithms, as well as numerous examples to demonstrate code usage and the properties of the presented algorithms. Despite the wide availability of computer programs for matrix computations, it continues to be an active area of research and development. New applications, new algorithms, and improvements to old algorithms are constantly emerging.

Statistics Applied With Excel - Data Analysis Is (Not) an Art (Paperback, 1st ed. 2023): Franz Kronthaler Statistics Applied With Excel - Data Analysis Is (Not) an Art (Paperback, 1st ed. 2023)
Franz Kronthaler
R2,300 Discovery Miles 23 000 Ships in 10 - 15 working days

This book shows you how to analyze data sets systematically and to use Excel 2019 to extract information from data almost effortlessly. Both are (not) an art! The statistical methods are presented and discussed using a single data set. This makes it clear how the methods build on each other and gradually more and more information can be extracted from the data. The Excel functions used are explained in detail - the procedure can be easily transferred to other data sets. Various didactic elements facilitate orientation and working with the book: At the checkpoints, the most important aspects from each chapter are briefly summarized. In the freak knowledge section, more advanced aspects are addressed to whet the appetite for more. All examples are calculated with hand and Excel. Numerous applications and solutions as well as further data sets are available on the author's internet platform. This book is a translation of the original German 2nd edition Statistik angewandt mit Excel by Franz Kronthaler, published by Springer-Verlag GmbH Germany, part of Springer Nature in 2021. The translation was done with the help of artificial intelligence (machine translation by the service DeepL.com). A subsequent human revision was done primarily in terms of content, so that the book will read stylistically differently from a conventional translation. Springer Nature works continuously to further the development of tools for the production of books and on the related technologies to support the authors.

Learn R for Applied Statistics - With Data Visualizations, Regressions, and Statistics (Paperback, 1st ed.): Eric Goh Ming Hui Learn R for Applied Statistics - With Data Visualizations, Regressions, and Statistics (Paperback, 1st ed.)
Eric Goh Ming Hui
R1,244 R982 Discovery Miles 9 820 Save R262 (21%) Ships in 10 - 15 working days

Gain the R programming language fundamentals for doing the applied statistics useful for data exploration and analysis in data science and data mining. This book covers topics ranging from R syntax basics, descriptive statistics, and data visualizations to inferential statistics and regressions. After learning R's syntax, you will work through data visualizations such as histograms and boxplot charting, descriptive statistics, and inferential statistics such as t-test, chi-square test, ANOVA, non-parametric test, and linear regressions. Learn R for Applied Statistics is a timely skills-migration book that equips you with the R programming fundamentals and introduces you to applied statistics for data explorations. What You Will Learn Discover R, statistics, data science, data mining, and big data Master the fundamentals of R programming, including variables and arithmetic, vectors, lists, data frames, conditional statements, loops, and functions Work with descriptive statistics Create data visualizations, including bar charts, line charts, scatter plots, boxplots, histograms, and scatterplots Use inferential statistics including t-tests, chi-square tests, ANOVA, non-parametric tests, linear regressions, and multiple linear regressions Who This Book Is For Those who are interested in data science, in particular data exploration using applied statistics, and the use of R programming for data visualizations.

Statistical Modeling With R - a dual frequentist and Bayesian approach for life scientists (Paperback): Pablo Inchausti Statistical Modeling With R - a dual frequentist and Bayesian approach for life scientists (Paperback)
Pablo Inchausti
R1,349 Discovery Miles 13 490 Ships in 9 - 15 working days

To date, statistics has tended to be neatly divided into two theoretical approaches or frameworks: frequentist (or classical) and Bayesian. Scientists typically choose the statistical framework to analyse their data depending on the nature and complexity of the problem, and based on their personal views and prior training on probability and uncertainty. Although textbooks and courses should reflect and anticipate this dual reality, they rarely do so. This accessible textbook explains, discusses, and applies both the frequentist and Bayesian theoretical frameworks to fit the different types of statistical models that allow an analysis of the types of data most commonly gathered by life scientists. It presents the material in an informal, approachable, and progressive manner suitable for readers with only a basic knowledge of calculus and statistics. Statistical Modeling with R is aimed at senior undergraduate and graduate students, professional researchers, and practitioners throughout the life sciences, seeking to strengthen their understanding of quantitative methods and to apply them successfully to real world scenarios, whether in the fields of ecology, evolution, environmental studies, or computational biology.

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