S+SPATIALSTATS is the first comprehensive, object-oriented package for the analysis of spatial data. Providing a whole new set of analysis tools, S+SPATIALSTATS was created specifically for the exploration and modeling of spatially correlated data. It can be used to analyze data arising in areas such as environmental, mining, and petroleum engineering, natural resources, geography, epidemiology, demography, and others where data is sampled spatially. This users manual provides the documentation for the S+SPATIALSTATS module.

Die Schwelle zur Informationsgesellschaft ist nach 30 Jahren Diskussion schon uberschritten, auch wenn weltweit noch uber die Wege dorthin diskutiert wird. Aber anstatt Betrachtungen uber Diskussionszyklen erfordert die Unumkehrbarkeit der Informatisierung in allen Lebensbereichen die klare Analyse der gewachsenen Strukturen in Technik, OEkonomie, Recht und Gesellschaft, um darauf Zukunft konkret zu gestalten. Rund um den Begriff eines "informationellen Vertrauens, das in den letzten Jahrzehnten noch nicht entstanden ist, das aber notwendigerweise und dringend zur Informationsgesellschaft gehoert, beschreiben die Autoren aus Wissenschaft und Praxis aus allen Disziplinen die Ausgestaltung unserer bereits vernetzten Welt. Der Jahres-Reader versteht sich als eine Grundlage einer anstehenden Neuorientierung hin zu einer systematischen und abgestimmten Gestaltung der technischen, wirtschaftlichen und regulativen Organisation kunftiger Infrastrukturen.

Angesichts der tiefgreifenden A"nderungen der Transformationsprozesse im Finanzdienstleistungsbereich und in der betrieblichen Finanzwirtschaft sind innovative Financial-Management-LAsungen heute mehr denn je gefragt. Dieses Buch, welches sich gleichermaAen an EntscheidungstrAger und Fachexperten aus Praxis und Wissenschaft richtet, greift diesen Bedarf auf und prAsentiert richtungsweisende Forschungs- und Praxisarbeiten insbesondere in den Themenbereichen: Elektronische Finanzdienstleistungswirtschaft, Intermediation im elektronischen Wertpapierhandel/Online Brokerage, Risikomanagement und Kapitalallokation in Kreditinstituten und e-Insurance. Das Buch zeigt somit auf, welche vielversprechenden LAsungspotentiale durch den integrierten Einsatz informationstechnischer und finanzwirtschaftlicher Methoden und Konzepte erAffnet werden.

Das erfolgreiche Fachbuch widmet sich der psychosozialen Dimension der Projektarbeit. Vor diesem Hintergrund werden alle Projektphasen beleuchtet. Schwerpunkte sind: Planung und Gestaltung des Projektbeginns, methodische Hinweise zur Teamarbeit, Regeln der Gesprachsfuhrung, Umgang mit Macht, Hierarchie und Widerstand im Rahmen der Projektarbeit, Partizipation, Gestaltung des Projektendes, Rolle und Anforderungsprofil des Projektleiters.
Fachlich kompetent und ubersichtlich gestaltet, gibt das Arbeitsbuch eine ebenso praxisgerechte wie breitgefacherte Hilfestellung fur Projektleiter und Fuhrungskrafte in den verschiedensten Bereichen. In der Neuauflage wurden die Entwicklungen in der Praxis berucksichtigt. Das Buch ist zu einem Klassiker der Projektarbeit geworden und wird in vielen Firmen und Seminaren als Lehrbuch eingesetzt."

This book deals with selected problems of machine perception, using various 2D and 3D imaging sensors. It proposes several new original methods, and also provides a detailed state-of-the-art overview of existing techniques for automated, multi-level interpretation of the observed static or dynamic environment. To ensure a sound theoretical basis of the new models, the surveys and algorithmic developments are performed in well-established Bayesian frameworks. Low level scene understanding functions are formulated as various image segmentation problems, where the advantages of probabilistic inference techniques such as Markov Random Fields (MRF) or Mixed Markov Models are considered. For the object level scene analysis, the book mainly relies on the literature of Marked Point Process (MPP) approaches, which consider strong geometric and prior interaction constraints in object population modeling. In particular, key developments are introduced in the spatial hierarchical decomposition of the observed scenarios, and in the temporal extension of complex MRF and MPP models. Apart from utilizing conventional optical sensors, case studies are provided on passive radar (ISAR) and Lidar-based Bayesian environment perception tasks. It is shown, via several experiments, that the proposed contributions embedded into a strict mathematical toolkit can significantly improve the results in real world 2D/3D test images and videos, for applications in video surveillance, smart city monitoring, autonomous driving, remote sensing, and optical industrial inspection.

COMPSTAT symposia have been held regularly since 1974 when they started in Vienna. This tradition has made COMPSTAT a major forum for the interplay of statistics and computer sciences with contributions from many well known scientists all over the world. The scientific programme of COMPSTAT '96 covers all aspects of this interplay, from user-experiences and evaluation of software through the development and implementation of new statistical ideas. All papers presented belong to one of the three following categories: - Statistical methods (preferable new ones) that require a substantial use of computing; - Computer environments, tools and software useful in statistics; - Applications of computational statistics in areas of substantial interest (environment, health, industry, biometrics, etc.).

A greatly expanded and heavily revised second edition, this popular guide provides instructions and clear examples for running analyses of variance (ANOVA) and several other related statistical tests of significance with SPSS. No other guide offers the program statements required for the more advanced tests in analysis of variance. All of the programs in the book can be run using any version of SPSS, including versions 11 and 11.5. A table at the end of the preface indicates where each type of analysis (e.g., simple comparisons) can be found for each type of design (e.g., mixed two-factor design).
Providing comprehensive coverage of the basic and advanced topics in ANOVA, this is the only book available that provides extensive coverage of SPSS syntax, including the commands and subcommands that tell SPSS what to do, as well as the pull-down menu point-and-click method (PAC). Detailed explanation of the syntax, including what is necessary, desired, and optional helps ensure that users can validate the analysis being performed. The book features the output of each design along with a complete explanation of the related printout.
The new edition was reorganized to provide all analysis related to one design type in the same chapter. It now features expanded coverage of analysis of covariance (ANCOVA) and mixed designs, new chapters on designs with random factors, multivariate designs, syntax used in PAC, and all new examples of output with complete explanations. The new edition is accompanied by a CD-ROM with all of the book's data sets, as well as exercises for each chapter.
This book is ideal for readers familiar with the basic concepts of the ANOVA technique including both practicing researchers and data analysts, as well as advanced students learning analysis of variance.

Enhancing Enterprise Intelligence: Leveraging ERP, CRM, SCM, PLM, BPM, and BI takes a fresh look at the benefits of enterprise systems (ES), focusing on the fact that ES collectively contribute to enhancing the intelligence quotient of an enterprise. The book provides an overview of the characteristic domains (i.e., business functions, processes, and activities) addressed by the various categories of ES, namely, ERP, CRM, SCM, PLM, BPM, and BI. The book begins with an overview of agile enterprises and dimensions of intelligent enterprises. The middle chapters detail CRM's decisive concept of customer centricity, SCM's differentiating concept of customer responsiveness, and PLM's stupendous transformative potential for renewing the enterprise along with the establishment of a collaborative enterprise with BPM and enterprise BPM methodology. The latter chapters deal with the realization of an informed enterprise with BI coupled with the novel concept of decision patterns. The author highlights the fact that any end-user application's effectiveness and performance can be enhanced by transforming it from a bare transaction to one clothed by a surrounding context formed from an aggregate of all relevant past decision patterns. The final chapter examines various aspects relating to a successful ES implementation project, and the appendix provides an overview of the SAP Business Suite to give you a practical context to the discussions presented in the book.

The book, which contains over two hundred illustrations, is designed for use in school computer labs or with home computers, running the computer algebra system Maple, or its student version. It supports the interactive Maple worksheets, which the authors have developed and which are available free of charge via anonymous ftp (ftp.utirc.utoronto.ca (/pub/ednet/maths/maple)). The book addresses readers who are learning calculus at a pre-university level.

The Agile Guide to Business Analysis and Planning presents clear, actionable guidance for every product owner, product and program manager, business analyst, requirements engineer, and project manager seeking to improve agile analysis and planning. Renowned author and consultant Howard Podeswa teaches best practices drawn from agile and agile-adjacent frameworks, including ATDD, BDD, DevOps, CI/CD, Kanban, Scrum, SAFe, XP, Lean Thinking, Lean Startup, Circumstance-Based Market Segmentation, and theories of disruptive innovation. He offers a comprehensive agile roadmap for analyzing customer needs and planning product development, including discussion of legacy business analysis tools that still offer immense value to agile teams.

Using a running case study, Podeswa walks through the full agile product lifecycle, from visioning through release and continuous value delivery. You learn how to carry out agile analysis and planning responsibilities more effectively, using tools such as Kano analysis, minimum viable products (MVPs), minimum marketable features (MMFs), story maps, product roadmaps, customer journey mapping, value stream mapping, spikes, and the definition of ready (DoR). Podeswa presents each technique in context: what you need to know and when to apply each tool. Read this book to

• Master principles, frameworks, concepts, and practices of agile analysis and planning in order to maximize value delivery throughout the product's lifecycle
• Explore planning and analysis for short-term, long-term, and scaled agile initiatives using MVPs and data-informed learning to test hypotheses and find high-value features
• Split features into MMFs and small stories that deliver significant value and enable quick wins
• Refine, estimate, and specify features, stories, and their acceptance criteria, following ATDD/BDD guidance
• Address the unique analysis and planning challenges of scaled agile organizations
• Implement 13 practices for optimizing enterprise agility

Past events have shed light on the vulnerability of mission-critical computer systems at highly sensitive levels. It has been demonstrated that common hackers can use tools and techniques downloaded from the Internet to attack government and commercial information systems. Although threats may come from mischief makers and pranksters, they are more likely to result from hackers working in concert for profit, hackers working under the protection of nation states, or malicious insiders. Securing an IT Organization through Governance, Risk Management, and Audit introduces two internationally recognized bodies of knowledge: Control Objectives for Information and Related Technology (COBIT 5) from a cybersecurity perspective and the NIST Framework for Improving Critical Infrastructure Cybersecurity (CSF). Emphasizing the processes directly related to governance, risk management, and audit, the book provides details of a cybersecurity framework (CSF), mapping each of the CSF steps and activities to the methods defined in COBIT 5. This method leverages operational risk understanding in a business context, allowing the information and communications technology (ICT) organization to convert high-level enterprise goals into manageable, specific goals rather than unintegrated checklist models. The real value of this methodology is to reduce the knowledge fog that frequently engulfs senior business management, and results in the false conclusion that overseeing security controls for information systems is not a leadership role or responsibility but a technical management task. By carefully reading, implementing, and practicing the techniques and methodologies outlined in this book, you can successfully implement a plan that increases security and lowers risk for you and your organization.

Der Vertrieb als Bindeglied zwischen Kunden und Unternehmen beeinflusst vor allem durch die Akquise ganz wesentlich den Unternehmenserfolg. Dabei ist der Vertrieb auf IT-Unterst tzung angewiesen. Die Gestaltung dieser Informationssysteme wird derzeit durch neue Trends herausgefordert. Dazu geh ren u. a. die Individualisierung und Hybridisierung des Leistungsangebots. Der Autor stellt in seiner ganzheitlichen Betrachtung neue Ans tze zur Gestaltung von Vertriebsinformationssystemen aus der Perspektive von Anbietern, Anwendern und Nutzern vor.

Mathematica combines symbolic and numerical calculations, plots, graphics programming, list calculations and structured documentation into an interactive environment. This book covers the program and shows with practical examples how even more complex problems can be solved with just a few commands.

From the reviews: "A valuable introductory textbook on Mathematica and is very useful to scientists and engineers who use Mathematica in their work." -- ZENTRALBLATT MATH

This book assembles papers which were presented at the biennial sympo sium in Computational Statistics held und er the a uspices of the International Association for Statistical Computing (IASC), a section of ISI, the Interna tional Statistical Institute. This symposium named COMPSTAT '94 was organized by the Statistical Institutes of the University of Vienna and the University of Technology of Vienna, Austria. The series of COMPSTAT Symposia started 1974 in Vienna. Mean while they took place every other year in Berlin (Germany, 1976), Leiden (The Netherlands, 1978), Edinburgh (Great Britain, 1980), Toulouse (France, 1982), Prague (Czechoslovakia, 1984), Rom (Italy, 1986), Copenhagen (Den mark, 1988), Dubrovnik (Yugoslavia, 1990) and Neuchatel (Switzerland, 1992). This year we are celebrating the 20th anniversary in Vienna, Austria. It has obviously been observed a movement from "traditional" computa tional statistics with emphasis on methods which produce results quickly and reliably, to computationally intensive methods like resampling procedures, Bayesian methods, dynamic graphics, to very recent areas like neural net works, accentuation on spatial statistics, huge data sets, analysis strategies, etc. For the organization of the symposium, new guidelines worked out by the IASC in written form were in effect this time. The goal was to refresh somehow the spirit of the start of COMPSTAT '74, keep the tradition of the series and ensure a certain continuity in the sequence of biannual meetings."

The analysis of time series data is an important aspect of data analysis across a wide range of disciplines, including statistics, mathematics, business, engineering, and the natural and social sciences. This package provides both an introduction to time series analysis and an easy-to-use version of a well-known time series computing package called Interactive Time Series Modelling. The programs in the package are intended as a supplement to the text Time Series: Theory and Methods, 2nd edition, also by Peter J. Brockwell and Richard A. Davis. Many researchers and professionals will appreciate this straightforward approach enabling them to run desk-top analyses of their time series data. Amongst the many facilities available are tools for: ARIMA modelling, smoothing, spectral estimation, multivariate autoregressive modelling, transfer-function modelling, forecasting, and long-memory modelling. This version is designed to run under Microsoft Windows 3.1 or later. It comes with two diskettes: one suitable for less powerful machines (IBM PC 286 or later with 540K available RAM and 1.1 MB of hard disk space) and one for more powerful machines (IBM PC 386 or later with 8MB of RAM and 2.6 MB of hard disk space available).

Maple is a computer algebraic system with a fast-growing number of users in universities, schools and other institutions. Werner Burkhardt provides a detailed step-by-step introduction for all first-time users, enabling you to become familiar with the way Maple works, as quickly and easily as possible. Using as examples problems from many different aspects of mathematics, problem solving using Maple is fully described in this easy-to-follow tutorial text. Each chapter is self-contained, so you can easily select areas of your own special interest. There are some 'test yourself' problems at the end of each chapter to check your progress, with solutions provided at the end of the book.

The utility simply known as "make" is one of the most enduring features of both Unix and other operating systems. First invented in the 1970s, "make" still turns up to this day as the central engine in most programming projects; it even builds the Linux kernel. In the third edition of the classic "Managing Projects with GNU make," readers will learn why this utility continues to hold its top position in project build software, despite many younger competitors.

The premise behind "make" is simple: after you change source files and want to rebuild your program or other output files, "make" checks timestamps to see what has changed and rebuilds just what you need, without wasting time rebuilding other files. But on top of this simple principle, "make" layers a rich collection of options that lets you manipulate multiple directories, build different versions of programs for different platforms, and customize your builds in other ways.

This edition focuses on the GNU version of "make," which has deservedly become the industry standard. GNU make contains powerful extensions that are explored in this book. It is also popular because it is free software and provides a version for almost every platform, including a version for Microsoft Windows as part of the free Cygwin project. "Managing Projects with GNU make," 3rd Edition provides guidelines on meeting the needs of large, modern projects. Also added are a number of interesting advanced topics such as portability, parallelism, and use with Java.

Robert Mecklenburg, author of the third edition, has used "make" for decades with a variety of platforms and languages. In this book he zealously lays forth how to get your builds to be asefficient as possible, reduce maintenance, avoid errors, and thoroughly understand what "make" is doing. Chapters on C++ and Java provide makefile entries optimized for projects in those languages. The author even includes a discussion of the makefile used to build the book.

This book is a collection of thirty invited papers, covering the important parts of a rapidly developing area like "computational statistics." All contributions supply information about a specialized topic in a tutorial and comprehensive style. Newest results and developments are discussed. Starting with the foundations of computational statistics, i.e. numerical reliability of software packages or construction principles for pseudorandom number generators, the volume includes design considerations on statistical programming languages and the basic issues of resampling techniques. Also covered are areas like design of experiments, graphical techniques, modelling and testing problems, a review of clustering algorithms, and concise discussions of regression trees or cognitive aspects of authoring systems.

Recommended by Bill Gates A thought-provoking and wide-ranging exploration of machine learning and the race to build computer intelligences as flexible as our own In the world's top research labs and universities, the race is on to invent the ultimate learning algorithm: one capable of discovering any knowledge from data, and doing anything we want, before we even ask. In The Master Algorithm, Pedro Domingos lifts the veil to give us a peek inside the learning machines that power Google, Amazon, and your smartphone. He assembles a blueprint for the future universal learner--the Master Algorithm--and discusses what it will mean for business, science, and society. If data-ism is today's philosophy, this book is its bible.

Sie treffen taglich Entscheidungen. Doch selten ist eine so komplex wie die Auswahl einer Software. Gute Vorbereitung ist daher umso wichtiger. Sie wollen die notwendige Qualitat des Lasten- bzw. Pflichtenheftes sicherstellen. Sie benotigen Zeit fur Marktanalyse und Ausschreibung. ePAVOS ist hierfur die Methode der Wahl: effizient, nachvollziehbar und zeitsparend. Sie deckt Compliance und andere externe Anforderungen ab. Sie macht das umfangreiche Vertragswerk transparent und gewahrleistet die Kontrolle uber Ihr Gesamtprojekt. Drei Experten liefern das Wichtigste aus Praxis, Theorie und Recht."

The emphasis of the book is given in how to construct different types of solutions (exact, approximate analytical, numerical, graphical) of numerous nonlinear PDEs correctly, easily, and quickly. The reader can learn a wide variety of techniques and solve numerous nonlinear PDEs included and many other differential equations, simplifying and transforming the equations and solutions, arbitrary functions and parameters, presented in the book). Numerous comparisons and relationships between various types of solutions, different methods and approaches are provided, the results obtained in Maple and Mathematica, facilitates a deeper understanding of the subject. Among a big number of CAS, we choose the two systems, Maple and Mathematica, that are used worldwide by students, research mathematicians, scientists, and engineers. As in the our previous books, we propose the idea to use in parallel both systems, Maple and Mathematica, since in many research problems frequently it is required to compare independent results obtained by using different computer algebra systems, Maple and/or Mathematica, at all stages of the solution process. One of the main points (related to CAS) is based on the implementation of a whole solution method (e.g. starting from an analytical derivation of exact governing equations, constructing discretizations and analytical formulas of a numerical method, performing numerical procedure, obtaining various visualizations, and comparing the numerical solution obtained with other types of solutions considered in the book, e.g. with asymptotic solution).

This second edition is an intensively revised and updated version of the book MATLAB (R) and Design Recipes for Earth Sciences. It aims to introduce students to the typical course followed by a data analysis project in earth sciences. A project usually involves searching relevant literature, reviewing and ranking published books and journal articles, extracting relevant information from the literature in the form of text, data, or graphs, searching and processing the relevant original data using MATLAB, and compiling and presenting the results as posters, abstracts, and oral presentations using graphics design software. The text of this book includes numerous examples on the use of internet resources, on the visualization of data with MATLAB, and on preparing scientific presentations. As with the book MATLAB Recipes for Earth Sciences-4rd Edition (2015), which demonstrates the use of statistical and numerical methods on earth science data, this book uses state-of-the art software packages, including MATLAB and the Adobe Creative Suite, to process and present geoscientific information collected during the course of an earth science project. The book's supplementary electronic material (available online through the publisher's website) includes color versions of all figures, recipes with all the MATLAB commands featured in the book, the example data, exported MATLAB graphics, and screenshots of the most important steps involved in processing the graphics.

Designed for engineers, mathematicians, computer scientists, financial analysts, and anyone interested in using numerical linear algebra, matrix theory, and game theory concepts to maximize efficiency in solving applied problems. The book emphasizes the solution of various types of linear programming problems by using different types of software, but includes the necessary definitions and theorems to master theoretical aspects of the topics presented. Features: Emphasizes the solution of various types of linear programming problems by using different kinds of software, e.g., MS-Excel, solutions of LPPs by Mathematica, MATLAB, WinQSB, and LINDO Provides definitions, theorems, and procedures for solving problems and all cases related to various linear programming topics Includes numerous application examples and exercises, e.g., transportation, assignment, and maximization Presents numerous topics that can be used to solve problems involving systems of linear equations, matrices, vectors, game theory, simplex method, and more.

This handy reference book detailing the intricacies of R covers version 4.x features, including numerous and significant changes to syntax, strings, reference counting, grid units, and more. Starting with the basic structure of R, the book takes you on a journey through the terminology used in R and the syntax required to make R work. You will find looking up the correct form for an expression quick and easy. Some of the new material includes information on RStudio, S4 syntax, working with character strings, and an example using the Twitter API. With a copy of the R 4 Quick Syntax Reference in hand, you will find that you are able to use the multitude of functions available in R and are even able to write your own functions to explore and analyze data. What You Will Learn Discover the modes and classes of R objects and how to use them Use both packaged and user-created functions in R Import/export data and create new data objects in R Create descriptive functions and manipulate objects in R Take advantage of flow control and conditional statements Work with packages such as base, stats, and graphics Who This Book Is For Those with programming experience, either new to R, or those with at least some exposure to R but who are new to the latest version.