Analyzing experimental databy regression - Info and Reading Options
By David M. Allen
"Analyzing experimental databy regression" was published by Lifetime Learning Publications in 1981 - Belmont, Calif, the book is classified in bibliography genre, it has 394 pages and the language of the book is English.
“Analyzing experimental databy regression” Metadata:
- Title: ➤ Analyzing experimental databy regression
- Author: David M. Allen
- Language: English
- Number of Pages: 394
- Publisher: Lifetime Learning Publications
- Publish Date: 1981
- Publish Location: Belmont, Calif
- Genres: bibliography
- Dewey Decimal Classification: 519.5/36
- Library of Congress Classification: QA278.2QA278.2 .A433
“Analyzing experimental databy regression” Subjects and Themes:
- Subjects: ➤ Regression analysis - Experimental design - Research Design - Analyse de regression - Plan d'experience - Regression Analysis
Edition Specifications:
- Number of Pages: xvi, 394 p. : ill. ; 24 cm.
- Pagination: xvi,394p. :
Edition Identifiers:
- The Open Library ID: OL21514069M - OL8447641W
- Online Computer Library Center (OCLC) ID: 7946399
- Library of Congress Control Number (LCCN): 81015576 - ^^^81015576^
- ISBN-10: 0534979637
- All ISBNs: 0534979637
AI-generated Review of “Analyzing experimental databy regression”:
"Analyzing experimental databy regression" Table Of Contents:
- 1- Strategy of data analysis
- 2- Data link between research objectives and analysis
- 3- Model formulation and inference
- 4- Fitting the mean model
- 5- Fitting a straight
- 6- ine model
- 7- Analysis of variance
- 8- Computations for multivariable models
- 9- Coping with model violations
- 10- Case study: Dose
- 11- ependent blood pressure data
- 12- Interpreting regression coefficients in two
- 13- ariable models
- 14- Data reduction by regression
- 15- Generalizing beyond the data
- 16- Comparison of candidate models
- 17- Case study: land evaluation data
- 18- Analysis of sample means
- 19- Case study: potato leafhopper survival data
- 20- Analysis of cross
- 21- lassified sample means
- 22- Analysis of sample means with unequal numbers of observations
- 23- Covariance analysis and comparison of regression lines
- 24- Model selection with many explanatory variables
- 25- Coping with large standard errors and unrealistic estimates
- 26- Split experimental units and repeated measures
- 27- Nonlinear models
- 28- A regression program for microcomputers
- 29- Exercises
- 30- Annotated computer output
- 31- Suggested reading
- 32- Answers to selected exercises
- 33- Index.
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- Harvard University Library: Location: Cabot Science Library, Harvard University - Shelf Numbers: QA278.2 .A433
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