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Statistical Methods, Third Edition

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Statistical Methods, Third Edition

最 低 价:¥581.00

定 价:¥949.00

作 者:Rudolf J. Freund

出 版 社:

出版时间:2010年7月20日

I S B N:9780123749703

价格
581.00元

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内容简介

内容简介

Statistical Methods, 3e provides students with a working introduction to statistical methods offering a wide range of applications that emphasize the quantitative skills useful across many academic disciplines. This text takes a classic approach emphasizing concepts and techniques for working out problems and intepreting results. The book includes research projects, real-world case studies, numerous examples and data exercises organized by level of difficulty. This text requires that a student be familiar with algebra.

New to this edition:

  • NEW expansion of exercises applying different techniques and methods
  • NEW examples and datasets using current real-world data
  • New text organization to create a more natural connection between regression and the Analysis of the Variance
  • NEW material on generalized linear models
  • NEW expansion of nonparametric techniques
  • NEW student research projects
  • NEW case studies for gathering, summarizing, and analyzing data

Supplements:

  • NEW companion website with downloadable data sets and additional resources including live links to statistical software such as SAS and SPSS
  • Student Solutions Manual - to come
  • Instructor Manual - to come
  • Sample chapter - http://www.elsevierdirect.com/product.jsp?isbn=9780123749703


  • Integrates the classical conceptual approach with modern day computerized data manipulation and computer applications
  • Accessibile to students who may not have a background in probability or calculus
  • Offers reader-friendly exposition, without sacrificing statistical rigor
  • Includes many new data sets in various applied fields such as Psychology, Education, Biostatistics, Agriculture, Economics

作者简介

目录

1. Data and statistics; 2. Probability and sampling distributions; 3. Principles of inference; 4. Inferences on a single population; 5. Inferences for two populations; 6. Inferences for two or more means; 7. Linear regression; 8. Multiple regression; 9. Linear models; 10. Factorial experiments; 11. Design of experiments;12. Categorical data; 13. Generalized linear models; 14. Nonparametric methods

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