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Applied Statistics: Regression and Analysis of Variance

Autor Bayo Lawal, Felix Famoye
en Limba Engleză Paperback – 9 aug 2013
Applied Statistics presents a thorough treatment of the methods of regression and analysis of variance. The book focuses on conceptual understandings of statistical methods in regression and analysis of variance as well as the use of statistical software to obtain correct results. Real data examples from many fields of study are used to motivate the presentation and illustrate the concepts and methods. Almost all of the examples in the book are accompanied with their corresponding SAS programs. The R programs are available on the following website: http://people.cst.cmich.edu/famoy1kf/appliedstat. This textbook is user-friendly and simplifies the presentation of complicated material. Applied Statistics requires an understanding of introductory statistics courses and is suitable for both junior and senior undergraduate students.
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Specificații

ISBN-13: 9780761861713
ISBN-10: 0761861718
Pagini: 525
Ilustrații: 259 Tables
Dimensiuni: 217 x 279 x 32 mm
Greutate: 1.47 kg
Editura: Bloomsbury Publishing
Colecția University Press of America
Locul publicării:New York, United States

Cuprins

1: Introduction
2: Simple Linear Regression
3: Inferences on Parameter Estimates
4: Mutiple Linear Regression
5: Regression Diagnostics and Remedial Methods
6: Multiple and Partial Correlations
7: Model Selection Strategies
8: Use of Dummy Variables in Regression Analysis
9: Polynomial Regression
10: Logistic Regression
11: Count Data Regression Models
12: Regression with Censored of Truncated Data
13: Nonlinear Regression
14: One-Way Analysis of Variance
15: Two-Factor Analysis of Variance
16: Analysis of Covariance
17: Randomized Complete Block Design
18: Non Orthogonal Classification

Recenzii

Applied Statistics . . . extensive coverage of regression and analysis of variance techniques combined with its exemplary demonstration of SAS coding through examples make it a valuable resource for a variety of statistics users. . . [W]hile Applied Statistics could effectively be used as a course textbook . . . [I]t may be even more attractive to researchers for use as a reference tool.