In diesem Buch werden in kompakter Form mithilfe zahlreicher Beispiele die ublichen Modelle und Methoden der angewandten Wahrscheinlichkeitstheorie und Statistik dargestellt. Es ist daher insbesondere fur angehende Wirtschaftswissenschaftler, Ingenieure und Informatiker geeignet, welchen auch das didaktische Konzept des Buchs entgegenkommt: Verstandnisfragen und Aufgaben in Form von "Meilensteinen" erleichtern das eigenstandige UEberprufen des Lernfortschritts. Ein ausfuhrlicher mathematischer Anhang "Mathematik kompakt" stellt die wichtigsten Ergebnisse aus Analysis und linearer Algebra zum effizienten Nachschlagen zur Verfugung. Ein Glossar mit den wichtigsten englischen Begriffen sowie Tabellen der statistischen Testverteilungen runden die Darstellung ab.

Formal Models of Domestic Politics offers a unified and accessible approach to canonical and important new models of politics. Intended for political science and economics students who have already taken a course in game theory, this new edition retains the widely appreciated pedagogic approach of the first edition. Coverage has been expanded to include a new chapter on nondemocracy; new material on valance and issue ownership, dynamic veto and legislative bargaining, delegation to leaders by imperfectly informed politicians, and voter competence; and numerous additional exercises. Political economists, comparativists, and Americanists will all find models in the text central to their research interests. This leading graduate textbook assumes no mathematical knowledge beyond basic calculus, with an emphasis placed on clarity of presentation. Political scientists will appreciate the simplification of economic environments to focus on the political logic of models; economists will discover many important models published outside of their discipline; and both instructors and students will value the classroom-tested exercises. This is a vital update to a classic text.

Die Beschaftigung mit finanzwirtschaftlichen Fragestellungen erfordert heute mehr denn je fundierte mathematische Kenntnisse - nicht nur im Rahmen der betrieblichen Finanzwirtschaft, sondern auch im Umgang mit privaten Investitions- und Finanzierungsentscheidungen sowie fur Kundenberater in der Finanzdienstleistungsindustrie. Das Buch entwickelt das notwendige Wissen, das von finanzmathematischen Standards der Zins-, Barwert- und Effektivzinsrechnung bis zum modernen Risikomanagement mit Elementen aus Portfoliotheorie, Optionspreisbestimmung sowie der Risikomessung mit dem Value at Risk reicht. Die dafur notwendigen Grundkenntnisse der Statistik werden ebenfalls vermittelt. Umfangreiche Beispiele erlautern die theoretischen Ansatze praxisbezogen. Zu jedem Kapitel gibt es umfassende Fallstudien, mit deren Hilfe ein Selbststudium moeglich ist.

The Who, What, and Where of America is designed to provide a sampling of key demographic information. It covers the United States, every state, each metropolitan statistical area, and all the counties and cities with a population of 20,000 or more. Who: Age, Race and Ethnicity, and Household Structure What: Education, Employment, and Income Where: Migration, Housing, and Transportation Each part is preceded by highlights and ranking tables that show how areas diverge from the national norm. These research aids are invaluable for understanding data from the ACS and for highlighting what it tells us about who we are, what we do, and where we live. Each topic is divided into four tables revealing the results of the data collected from different types of geographic areas in the United States, generally with populations greater than 20,000. ·Table A. States ·Table B. Counties ·Table C. Metropolitan Areas ·Table D. Cities In this edition, you will find social and economic estimates on the ways American communities are changing with regard to the following: ·Age and race ·Health care coverage ·Marital history ·Education attainment ·Income and occupation ·Commute time to work ·Employment status ·Home values and monthly costs ·Veteran status ·Size of home or rental unit This title is the latest in the County and City Extra Series of publications from Bernan Press. Other titles include County and City Extra, County and City Extra: Special Decennial Census Edition, and Places, Towns, and Townships.

Dieses Buch enthalt kompakte Beschreibungen aller wesentlichen Informationsverarbeitungs-Systeme im Industriebetrieb. Neben Standardanwendungen wird besonderer Wert auf interessante Einzelideen sowie branchentypische Besonderheiten gelegt, wenn diese hohen Anregungswert fur Praxis und Wissenschaft haben."

Das Buch liefert ein Methodenset, das IT-Verantwortlichen helfen kann, mit einfachen Instrumenten zu einer effizienten und am Kundennutzen orientierten Leistungserstellung zu gelangen.

The world is currently in the midst of a data revolution. Consumers now inhabit a digital world and companies have no option but to follow them there. Governments are reviewing the rules of usage for consumer data in marketing and advertising in order to take advantage of the huge economic opportunity that the data driven economy represents. Companies, recognizing the opportunity, are hurrying to adapt by digitalizing their processes. They are putting pressure on their managers and working teams to learn how to make best use of the technology capabilities and their data resources. What is more, premier national companies have to compete in a global business field where their Silicon Valley-breed competitors have a substantial advantage in terms of digitalization and data usage. Written in plain English with illustrative examples and cases, this book is for the general manager who seeks a better grasp of this fast-changing business world and a better understanding of what will be required from he/she, not just now but in five years' time.

Karsten Webel liefert einen UEberblick uber die in der OEkonometrie etablierten Erklarungsansatze fur ein langes Gedachtnis und weist erstmals nach, dass auch ein Prozess, der in diesen Gebiet nahezu unbekannt ist, unter bestimmten Bedingungen ein langes Gedachtnis erzeugen kann.

Research and Evaluation for Business is intended for use in either a one or two semester introductory business statistics course. The focus of the text is on decision making based on data analysis. This is a real data, and problem-oriented text that teaches the actual practice of statistical thinking, management of decision making for tool selection, assumptions management, outcome interpretation, and reporting. The text incorporates, where appropriate, Excel and Minitab commands and output in examples and exercises.

Mit dem Ziel, die zahlreichen Freiheitsgrade bei der Ausgestaltung von Kunstlichen Neuronalen Netzen wissenschaftlich fundiert zu fixieren, untersucht Janette F. Walde die Starken und Schwachen von mehrschichtigen Perzeptronen, die zu dieser Modellierungsklasse zahlen. Sie vergleicht deren Performance mit der von klassischen Verfahren, identifiziert mit Hilfe von Sensitivitatsanalysen die wichtigen Inputvariablen und uberpruft die aufgezeigten nichtlinearen Zusammenhange auf ihre substanzwissenschaftliche Fundierung. Es wird deutlich, dass dem Vorteil der Kunstlichen Neuronalen Netze, namlich die kaum erforderliche Vorabspezifizierung des funktionalen Zusammenhangs, ein enormer Datenhunger gegenubersteht.

A complete set of statistical tools for beginning financial analysts from a leading authority Written by one of the leading experts on the topic, An Introduction to Analysis of Financial Data with R explores basic concepts of visualization of financial data. Through a fundamental balance between theory and applications, the book supplies readers with an accessible approach to financial econometric models and their applications to real-world empirical research. The author supplies a hands-on introduction to the analysis of financial data using the freely available R software package and case studies to illustrate actual implementations of the discussed methods. The book begins with the basics of financial data, discussing their summary statistics and related visualization methods. Subsequent chapters explore basic time series analysis and simple econometric models for business, finance, and economics as well as related topics including: * Linear time series analysis, with coverage of exponential smoothing for forecasting and methods for model comparison * Different approaches to calculating asset volatility and various volatility models * High-frequency financial data and simple models for price changes, trading intensity, and realized volatility * Quantitative methods for risk management, including value at risk and conditional value at risk * Econometric and statistical methods for risk assessment based on extreme value theory and quantile regression Throughout the book, the visual nature of the topic is showcased through graphical representations in R, and two detailed case studies demonstrate the relevance of statistics in finance. A related website features additional data sets and R scripts so readers can create their own simulations and test their comprehension of the presented techniques. An Introduction to Analysis of Financial Data with R is an excellent book for introductory courses on time series and business statistics at the upper-undergraduate and graduate level. The book is also an excellent resource for researchers and practitioners in the fields of business, finance, and economics who would like to enhance their understanding of financial data and today's financial markets.

Statistik interaktiv! ist eine multimediale Lerneinheit zur Grundausbildung Statistik. Inhalt ist die deskriptive Statistik. Eine authentische Videogeschichte fuhrt den Anwender problemorientiert durch die Lektionen, von den Grundbegriffen bis zur linearen Regression. In einem interaktiven Lernlabor haben die Lernenden die Moeglichkeit, konkrete UEbungsaufgaben zu bearbeiten und Musterloesungen zu studieren oder auch frei zu experimentieren. So entsteht lebendiges Wissen und Spass am Lernen. In einem ausfuhrlichen Begleitbuch kann der Lehrstoff nachbearbeitet werden. Fur die neue Auflage wurde die Funktionalitat des Lernlabor verbessert und erweitert.

This Book Set consists of: *9781780525242 - Missing Data Methods: Cross-sectional Methods and Applications (Part A) *9781780525266 - Missing Data Methods: Time-series Methods and Applications (Part B) The papers in this volume cover topics in the econometric approach to missing data problems. Data can be missing because an individual failed to answer a question or because the laws of nature imply that an individual can only follow one of several possible paths. We refer to the first case as one of missing observations and to the second case as one of unobserved outcomes. This volume reflects the fact that econometricians have been very active in the development and use of methods for unobserved outcomes. The huge interest in these methods caused the volume to be split into parts A and B. The 12 chapters in Part A discuss cross-sectional methods. All the papers either derive, survey, or evaluate new methods for handling missing-data problems. Per the current interest in econometrics, 11 of the 12 papers address unobserved-outcome problems. The 4 chapters in Part B discuss time-series methods. Two chapters comprehensively survey the use of Markov switching models in finance. The third chapter surveys discrete-time and continuous-time models for volatility. The fourth chapter derives a new imputation method for nonstationary panel-data models and compares it to existing methods.

Publisher's Note: Products purchased from Third Party sellers are not guaranteed by the publisher for quality, authenticity, or access to any online entitlements included with the product.Need to learn Minitab? Problem Solved!Get started using Minitab right way with help from this hands-on guide. Minitab Demystified walks you through essential Minitab features and shows you how to apply them to solve statistical analysis problems. Featuring coverage of Minitab 16, this practical guide explores the Minitab interface and the full range of Minitab graphics, Distribution models, statistical intervals, hypothesis testing, and sample size calculations are clearly explained. The book covers modeling tools of regression and the design of experiments (DOE) as well as the industrial quality tools of measurement systems analysis, control charts, capability analysis, acceptance sampling, and reliability analysis. Detailed examples and concise explanations make it easy to understand the material, and end-of-chapter quizzes and a final exam help reinforce key concepts. It's a no-brainer! You'll learn about: Accessing powerful Minitab functions with the Minitab assistant Confidence, prediction, and tolerance intervals Designing and analyzing experiments with hard-to-change variables Statistical process control (SPC), Six Sigma applications, and quality control Predicting the economic impact of sampling Analyzing life data with additional variables Simple enough for a beginner, challenging enough for an advanced student, and thorough enough for a Six Sigma professional, Minitab Demystified is your shortcut to statistical analysis success!

Econophysics has been used to study a range of economic and financial systems. This book uses the econophysical perspective to focus on the income distributive dynamics of economic systems. It focuses on the empirical characterization and dynamics of income distribution and its related quantities from the epistemological and practical perspectives of contemporary physics. Several income distribution functions are presented which fit income data and results obtained by statistical physicists on the income distribution problem. The book discusses two separate research traditions: the statistical physics approach, and the approach based on non-linear trade cycle models of macroeconomic dynamics. Several models of distributive dynamics based on the latter approach are presented, connecting the studies by physicists on distributive dynamics with the recent literature by economists on income inequality. As econophysics is such an interdisciplinary field, this book will be of interest to physicists, economists, statisticians and applied mathematicians.

Dieses Buch vermittelt anschaulich und leicht verstandlich die Grundlagen der Wirtschaftsstatistik (Mathematische Voraussetzungen, Beschreibende und Schliessende Statistik, Datenanalyse), die fur empirische Aufgabenstellungen, Datenaufbereitung, Ergebnisinterpretation und den Einsatz von Statistikprogrammen wie SPSS, Excel und NSDstat notwendig sind.
Die relevanten Konzepte und Verfahren werden im Rahmen konkreter, praxisbezogener Datenanalysen vorgestellt. Ausfuhrliche Ubungsaufgaben am jeweiligen Kapitelende und Musterlosungen im Anhang ermoglichen ein effizientes Selbststudium sowie eine erfolgreiche Prufungsvorbereitung. Die korrigierte 3. Auflage wurde sorgfaltig durchgesehen und uberarbeitet

1. This book is applicable to courses across the social and behavioral science on a wide range of quantitative methods courses. 2. The book is based solely on Stata for EFA - one of the top statistics software packages used in behavioral and social sciences. 3. Clear step-by-step guidance combined with screen shots to show how to apply EFA to real data.

If you follow the headlines, you could be forgiven for thinking that things in Ireland are worse than ever. In fact, we live longer than ever before, we have never been healthier or better educated, we earn five times more than our grandparents did, our personal freedoms exceed those of any previous generation, and the lives of women and children have been transformed for the better. At a time when some good news is welcome, this uplifting book tells our national story through facts and stats, placing Ireland under the microscope to chart 100 undeniable achievements of the past 100 years. When the State was formed, Ireland was one of the most poverty-stricken nations in Europe. Now it has the second-highest quality of life in the world. While there is still more to be done, In Fact illustrates that Ireland, for all its imperfections, is in a much better state than you might think.

Highly Effective Marketing Analytics infuses analytics into marketing to help improve marketing performance and raise analytics IQ for companies that have not yet had much success with marketing analytics. The book reveals why marketing analytics has not yet kept the promise and clarifies confusions and misunderstanding surrounding marketing analytics. Highly Effective Marketing Analytics is a highly practical and pragmatic how-to book. The author illustrates step by step many innovative, practical, and cost-effective methodologies to solving the most challenging real-world problems facing marketers in today's highly competitive omnichannel environment.

In a world where we are constantly being asked to make decisions based on incomplete information, facility with basic probability is an essential skill. This book provides a solid foundation in basic probability theory designed for intellectually curious readers and those new to the subject. Through its conversational tone and careful pacing of mathematical development, the book balances a charming style with informative discussion. This text will immerse the reader in a mathematical view of the world, giving them a glimpse into what attracts mathematicians to the subject in the first place. Rather than simply writing out and memorizing formulas, the reader will come out with an understanding of what those formulas mean, and how and when to use them. Readers will also encounter settings where probabilistic reasoning does not apply or where intuition can be misleading. This book establishes simple principles of counting collections and sequences of alternatives, and elaborates on these techniques to solve real world problems both inside and outside the casino. Pair this book with the HarvardX online course for great videos and interactive learning: https://harvardx.link/fat-chance.

Random set theory is a fascinating branch of mathematics that amalgamates techniques from topology, convex geometry, and probability theory. Social scientists routinely conduct empirical work with data and modelling assumptions that reveal a set to which the parameter of interest belongs, but not its exact value. Random set theory provides a coherent mathematical framework to conduct identification analysis and statistical inference in this setting and has become a fundamental tool in econometrics and finance. This is the first book dedicated to the use of the theory in econometrics, written to be accessible for readers without a background in pure mathematics. Molchanov and Molinari define the basics of the theory and illustrate the mathematical concepts by their application in the analysis of econometric models. The book includes sets of exercises to accompany each chapter as well as examples to help readers apply the theory effectively.

Introduction to Functional Data Analysis provides a concise textbook introduction to the field. It explains how to analyze functional data, both at exploratory and inferential levels. It also provides a systematic and accessible exposition of the methodology and the required mathematical framework. The book can be used as textbook for a semester-long course on FDA for advanced undergraduate or MS statistics majors, as well as for MS and PhD students in other disciplines, including applied mathematics, environmental science, public health, medical research, geophysical sciences and economics. It can also be used for self-study and as a reference for researchers in those fields who wish to acquire solid understanding of FDA methodology and practical guidance for its implementation. Each chapter contains plentiful examples of relevant R code and theoretical and data analytic problems. The material of the book can be roughly divided into four parts of approximately equal length: 1) basic concepts and techniques of FDA, 2) functional regression models, 3) sparse and dependent functional data, and 4) introduction to the Hilbert space framework of FDA. The book assumes advanced undergraduate background in calculus, linear algebra, distributional probability theory, foundations of statistical inference, and some familiarity with R programming. Other required statistics background is provided in scalar settings before the related functional concepts are developed. Most chapters end with references to more advanced research for those who wish to gain a more in-depth understanding of a specific topic.

Most academic and policy commentary represents adverse selection as a severe problem in insurance, which should always be deprecated, avoided or minimised. This book gives a contrary view. It details the exaggeration of adverse selection in insurers' rhetoric and insurance economics, and presents evidence that in many insurance markets, adverse selection is weaker than most commentators suggest. A novel arithmetical argument shows that from a public policy perspective, 'weak' adverse selection can be a good thing. This is because a degree of adverse selection is needed to maximise 'loss coverage', the expected fraction of the population's losses which is compensated by insurance. This book will be valuable for those interested in public policy arguments about insurance and discrimination: academics (in economics, law and social policy), policymakers, actuaries, underwriters, disability activists, geneticists and other medical professionals.