Über dieses Produkt

Product Identifiers

PublisherBrooks/Cole

ISBN-101133490670

ISBN-139781133490678

eBay Product ID (ePID)109478252

Product Key Features

Number of Pages784 Pages

Publication NameStatistical Sleuth : a Course in Methods of Data Analysis

LanguageEnglish

Publication Year2012

SubjectProbability & Statistics / General

FeaturesRevised

TypeTextbook

AuthorDaniel Schafer, Fred Ramsey

Subject AreaMathematics

FormatHardcover

Dimensions

Item Height9.4 in

Item Weight45.6 Oz

Item Length1.4 in

Item Width7.6 in

Additional Product Features

Edition Number3

Intended AudienceCollege Audience

Dewey Edition23

TitleLeadingThe

IllustratedYes

Dewey Decimal519.5

Table Of Content1. Drawing Statistical Conclusions.2. Inference Using t-Distributions.3. A Closer Look at Assumptions.4. Alternatives to the t-Tools.5. Comparisons among Several Samples.6. Linear Combinations and Multiple Comparisons of Means.7. Simple Linear Regression: A Model for the Mean.8. A Closer Look at Assumptions for Simple Linear Regression.9. Multiple Regression.10. Inferential Tools for Multiple Regression.11. Model Checking and Refinement.12. Strategies for Variable Selection.13. The Analysis of Variance for Two-Way Classifications.14. Multifactor Studies Without Replication.15. Adjustment for Serial Correlation.16. Repeated Measures and Other Multivariate Responses.17. Exploratory Tools for Summarizing Multivariate Responses.18. Comparisons of Proportions or Odds.19. More Tools for Tables of Counts.20. Logistics Regression for Binary Response Variables.21. Logistic Regression for Binomial Counts.22. Log-Linear Regression for Poisson Counts.23. Elements of Research Design.24. Factorial Treatment Arrangements and Blocking Designs.Appendix A. Tables.Appendix B. References.Bibliography.Index.

Edition DescriptionRevised edition

SynopsisTHE STATISTICAL SLEUTH: A COURSE IN METHODS OF DATA ANALYSIS, Third Edition offers an appealing treatment of general statistical methods that takes full advantage of the computer, both as a computational and an analytical tool. The material is independent of any specific software package, and prominently treats modeling and interpretation in a way that goes beyond routine patterns. The book focuses on a serious analysis of real case studies, strategies and tools of modern statistical data analysis, the interplay of statistics and scientific learning, and the communication of results. With interesting examples, real data, and a variety of exercise types (conceptual, computational, and data problems), the authors get readers excited about statistics.

LC Classification NumberQA276