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Regression Analysis By Example

Author: Samprit Chatterjee
Publisher: John Wiley & Sons
ISBN: 0470055456
Size: 73.75 MB
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The essentials of regression analysis through practical applications Regression analysis is a conceptually simple method for investigating relationships among variables. Carrying out a successful application of regression analysis, however, requires a balance of theoretical results, empirical rules, and subjective judgement. Regression Analysis by Example, Fourth Edition has been expanded and thoroughly updated to reflect recent advances in the field. The emphasis continues to be on exploratory data analysis rather than statistical theory. The book offers in-depth treatment of regression diagnostics, transformation, multicollinearity, logistic regression, and robust regression. This new edition features the following enhancements: Chapter 12, Logistic Regression, is expanded to reflect the increased use of the logit models in statistical analysis A new chapter entitled Further Topics discusses advanced areas of regression analysis Reorganized, expanded, and upgraded exercises appear at the end of each chapter A fully integrated Web page provides data sets Numerous graphical displays highlight the significance of visual appeal Regression Analysis by Example, Fourth Edition is suitable for anyone with an understanding of elementary statistics. Methods of regression analysis are clearly demonstrated, and examples containing the types of irregularities commonly encountered in the real world are provided. Each example isolates one or two techniques and features detailed discussions of the techniques themselves, the required assumptions, and the evaluated success of each technique. The methods described throughout the book can be carried out with most of the currently available statistical software packages, such as the software package R. An Instructor's Manual presenting detailed solutions to all the problems in the book is available from the Wiley editorial department.

Regression Analysis By Example

Author: Samprit Chatterjee
Publisher: John Wiley & Sons
ISBN: 1119122732
Size: 77.77 MB
Format: PDF, Mobi
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Praise for the Fourth Edition: "This book is . . . an excellent source of examples forregression analysis. It has been and still is readily readable andunderstandable." —Journal of the American StatisticalAssociation Regression analysis is a conceptually simplemethod for investigating relationships among variables. Carryingout a successful application of regression analysis, however,requires a balance of theoretical results, empirical rules, andsubjective judgment. Regression Analysis by Example, FifthEdition has been expanded and thoroughly updated to reflectrecent advances in the field. The emphasis continues to be onexploratory data analysis rather than statistical theory. The bookoffers in-depth treatment of regression diagnostics,transformation, multicollinearity, logistic regression, and robustregression. The book now includes a new chapter on the detection andcorrection of multicollinearity, while also showcasing the use ofthe discussed methods on newly added data sets from the fields ofengineering, medicine, and business. The Fifth Edition alsoexplores additional topics, including: Surrogate ridge regression Fitting nonlinear models Errors in variables ANOVA for designed experiments Methods of regression analysis are clearly demonstrated, andexamples containing the types of irregularities commonlyencountered in the real world are provided. Each example isolatesone or two techniques and features detailed discussions, therequired assumptions, and the evaluated success of each technique.Additionally, methods described throughout the book can be carriedout with most of the currently available statistical softwarepackages, such as the software package R. Regression Analysis by Example, Fifth Edition is suitablefor anyone with an understanding of elementary statistics.

Logistic Regression Using The Sas System

Author: Paul D. Allison
Publisher: Wiley-Interscience
ISBN: 9780470388075
Size: 10.18 MB
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This set contains: 9780471221753 Logistic Regression Using the SAS System: Theory and Application by Paul D. Allison and 9780471746966 Regression Analysis by Example, Fourth Edition by Samprit Chatterjee, Ali S. Hadi.

Handbuch Der Sozialwissenschaftlichen Datenanalyse

Author: Christof Wolf
Publisher: Springer-Verlag
ISBN: 3531920383
Size: 77.80 MB
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Das Handbuch der sozialwissenschaftlichen Datenanalyse bietet in über 40 Kapiteln eine umfassende Darstellung multivariater Analyseverfahren. Schwerpunkte des Handbuchs bilden Grundlagen der Datenanalyse, regressionsanalytische Verfahren für Quer- und Längsschnittsdaten sowie Skalierungsverfahren. Behandelt werden u. a. OLS-, logistische und robuste Regression, Strukturgleichungsmodelle, Mehrebenen-, Panel-, Ereignisdaten- und Zeitreihenanalyse, MDS und Rasch-Modelle. Darüber hinaus werden viele neuere Verfahren dargestellt, etwa multiple Imputation, Bootstrappen, Analyse latenter Klassen und propensity score matching. Jedes Kapitel beginnt mit einer allgemein verständlichen Einführung. Es folgt eine Darstellung der mathematisch-statistischen Grundlagen. Anschließend wird jedes Verfahren anhand eines sozialwissenschaftlichen Beispiels vorgestellt. Die Beiträge enden mit Hinweisen auf typische Anwendungsfehler und einer kommentierten Literaturempfehlung.

Zahlentheorie

Author: Armin Leutbecher
Publisher: Springer-Verlag
ISBN: 3642614051
Size: 41.75 MB
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Auf der Grundlage der Mathematikkenntnisse des ersten Studienjahres bietet der Autor eine Einführung in die Zahlentheorie mit Schwerpunkt auf der elementaren und algebraischen Zahlentheorie. Das Buch wendet sich auch an Nichtspezialisten, denen es über die Zahlen frühzeitig den Weg in die Algebra öffnet. Angestrebte Ziele sind: Der Satz von Kronecker-Weber zur Krönung der Galois-Theorie, der Minkowskische Gitterpunktsatz, der Dirichletsche Primzahlsatz und die Bewertungstheorie der Körper.

Handbook Of Regression Analysis

Author: Samprit Chatterjee
Publisher: John Wiley & Sons
ISBN: 1118532813
Size: 39.93 MB
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A Comprehensive Account for Data Analysts of the Methods and Applications of Regression Analysis. Written by two established experts in the field, the purpose of the Handbook of Regression Analysis is to provide a practical, one-stop reference on regression analysis. The focus is on the tools that both practitioners and researchers use in real life. It is intended to be a comprehensive collection of the theory, methods, and applications of regression methods, but it has been deliberately written at an accessible level. The handbook provides a quick and convenient reference or “refresher” on ideas and methods that are useful for the effective analysis of data and its resulting interpretations. Students can use the book as an introduction to and/or summary of key concepts in regression and related course work (including linear, binary logistic, multinomial logistic, count, and nonlinear regression models). Theory underlying the methodology is presented when it advances conceptual understanding and is always supplemented by hands-on examples. References are supplied for readers wanting more detailed material on the topics discussed in the book. R code and data for all of the analyses described in the book are available via an author-maintained website. "I enjoyed the presentation of the Handbook, and I would be happy to recommend this nice handy book as a reference to my students. The clarity of the writing and proper choices of examples allows the presentations ofmany statisticalmethods shine. The quality of the examples at the end of each chapter is a strength. They entail explanations of the resulting R outputs and successfully guide readers to interpret them." American Statistician

Regression Analysis And Its Application

Author: Richard F. Gunst
Publisher: Routledge
ISBN: 1351419293
Size: 56.29 MB
Format: PDF
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Regression Analysis and Its Application: A Data-Oriented Approach answers the need for researchers and students who would like a better understanding of classical regression analysis. Useful either as a textbook or as a reference source, this book bridges the gap between the purely theoretical coverage of regression analysis and its practical application. The book presents regression analysis in the general context of data analysis. Using a teach-by-example format, it contains ten major data sets along with several smaller ones to illustrate the common characteristics of regression data and properties of statistics that are employed in regression analysis. The book covers model misspecification, residual analysis, multicollinearity, and biased regression estimators. It also focuses on data collection, model assumptions, and the interpretation of parameter estimates.Complete with an extensive bibliography, Regression Analysis and Its Application is suitable for statisticians, graduate and upper-level undergraduate students, and research scientists in biometry, business, ecology, economics, education, engineering, mathematics, physical sciences, psychology, and sociology. In addition, data collection agencies in the government and private sector will benefit from the book.

Zeitreihenmodelle

Author: Andrew C. Harvey
Publisher: Walter de Gruyter GmbH & Co KG
ISBN: 3486786741
Size: 53.41 MB
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Gegenstand des Werkes sind Analyse und Modellierung von Zeitreihen. Es wendet sich an Studierende und Praktiker aller Disziplinen, in denen Zeitreihenbeobachtungen wichtig sind.

Mathematische Statistik

Author: Claudia Czado
Publisher: Springer-Verlag
ISBN: 364217261X
Size: 57.28 MB
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Das Buch liefert einen Überblick über die Theorie statistischer Schätz- und Testverfahren. Die Autoren bieten eine verständliche und praxisorientierte Schritt-für-Schritt Einführung in die mathematischen Methoden der Statistik. Um Lesern den Einstieg in die Materie zu erleichtern, präsentieren sie elementare Beweise ohne maßtheoretische Hilfsmittel und bieten viele ausgearbeitete Anwendungsbeispiele. Anhand einer umfangreichen Aufgabensammlung am Ende jedes Kapitels können Leser ihren Lernfortschritt überprüfen.