An easy to read survey of data analysis, linear regression models and analysis of variance. The extensive development of the linear model includes the use of the linear model approach to analysis of variance provides a strong link to statistical software packages, and is complemented by a thorough overview of theory. It is assumed that the reader has the background equivalent to an introductory book in statistical inference. Can be read easily by those who have had brief exposure to calculus and linear algebra. Intended for first year graduate students in business, social and the biological sciences. Provides the student with the necessary statistics background for a course in research methodology. In addition, undergraduate statistics majors will find this text useful as a survey of linear models and their applications.
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"On the whole, this volume is an excellent compendium on the subject of statistics to serve as a textbook for a number of courses." (Zentralblatt fuer Mathematik)
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As outlined in Chapter 1 the techniques of statistical inference usually require that assumptions be made regarding the sample data. Read the first page Key Phrases - Statistically Improbable Phrases (SIPs): (learn more)
test marketing data, effect coding approach, slope shifters, grafted quadratics, qualitative explanatory variables, effect coding variables, quantitative random variables, domestic intercept, twelve explanatory variables, foreign intercept, univariate data analysis, financial accounting example, family expenditure data, added variable plot, shifter variables, normal goodness, large experimental units, gasoline brands, fractional replication, homogeneous experimental units, partial residual plot, influential subsets, applied multivariate data analysis, financial accounting data, biased regression Key Phrases - Capitalized Phrases (CAPs): (learn more)
New York, Univariate Data Analysis, Data Appendix, Intercept Foreign, Joint Distributions, Some Three-way Analysis of Variance Models, Squares Mean Square, Additional Topics, Journal of the American Statistical Association, Second Edition, United States, Characteristics of Sample Distributions, Chev Camaro, Incomplete Blocks, Monte Carlo, Multifactor Factorials, Pontiac Sunbird, Summary of Group Parameters, American Statistician, Porsche Carrera, Squares Square, Annals of Mathematical Statistics, Appendix Table, Buick Regal, Chev Celebrity New!
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Front Cover | Table of Contents | First Pages | Index | Back Cover | Surprise Me!
As outlined in Chapter 1 the techniques of statistical inference usually require that assumptions be made regarding the sample data. Read the first page Key Phrases - Statistically Improbable Phrases (SIPs): (learn more)
test marketing data, effect coding approach, slope shifters, grafted quadratics, qualitative explanatory variables, effect coding variables, quantitative random variables, domestic intercept, twelve explanatory variables, foreign intercept, univariate data analysis, financial accounting example, family expenditure data, added variable plot, shifter variables, normal goodness, large experimental units, gasoline brands, fractional replication, homogeneous experimental units, partial residual plot, influential subsets, applied multivariate data analysis, financial accounting data, biased regression Key Phrases - Capitalized Phrases (CAPs): (learn more)
New York, Univariate Data Analysis, Data Appendix, Intercept Foreign, Joint Distributions, Some Three-way Analysis of Variance Models, Squares Mean Square, Additional Topics, Journal of the American Statistical Association, Second Edition, United States, Characteristics of Sample Distributions, Chev Camaro, Incomplete Blocks, Monte Carlo, Multifactor Factorials, Pontiac Sunbird, Summary of Group Parameters, American Statistician, Porsche Carrera, Squares Square, Annals of Mathematical Statistics, Appendix Table, Buick Regal, Chev Celebrity New!
Concordance | Text Stats Browse Sample Pages:
Front Cover | Table of Contents | First Pages | Index | Back Cover | Surprise Me!
Citations (learn more)
This book cites 69
books:
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70
books
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- Experimental Design on page 512, page 528, and page 532
- Residuals and Influence in Regression (Monographs on Statistics and Applied Probability, 18) by R. Dennis Cook on page 205, and page 382
- The Theory and Practice of Econometrics (Wiley Series in Probability and Statistics) by George G. Judge on page 205, and page 383
- Statistical Tables and Formulae (Springer Texts in Statistics) by Stephen Kokoska in Front Matter, and Back Matter
- Practical Nonparametric Statistics (Wiley Series in Probability and Statistics) by W. J. Conover on page 205, and page 531
See all 69 books this book cites
- Applied Multivariate Data Analysis: Volume II: Categorical and Multivariate Methods (Springer Texts in Statistics) by J. D. Jobson in Front Matter (1), and Front Matter (2)
- Foundations of Statistical Analyses and Applications with SAS by Michael Falk in Front Matter, and Back Matter
- Modeling Longitudinal Data (Springer Texts in Statistics) by Robert E. Weiss in Front Matter
- SAS/INSIGHT 9.1 User's Guide by SAS Publishing on page 769
- Advances in Database Technology - EDBT '98: 6th International Conference on Extending Database Technology, Valencia, Spain, March 23-27, 1998. (Lecture Notes in Computer Science) by Hans-Jörg Schek on page 133
See all 70 books citing this book
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