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Applied Regression Analysis
An outstanding introduction to the fundamentals of regression analysis-updated and expanded The methods of regression analysis are the most widely used statistical tools for discovering the relationships among variables. This classic text, with its emphasis on clear, thorough presentation of concepts and applications, offers a complete, easily accessible introduction to the fundamentals of regression analysis. Assuming only a basic knowledge of elementary statistics, Applied Regression Analysis, Third Edition focuses on the fitting and checking of both linear and nonlinear regression models, using small and large data sets, with pocket calculators or computers. This Third Edition features separate chapters on multicollinearity, generalized linear models, mixture ingredients, geometry of regression, robust regression, and resampling procedures. Extensive support materials include sets of carefully designed exercises with full or partial solutions and a series of true/false questions with answers. All data sets used in both the text and the exercises can be found on the companion disk at the back of the book. For analysts, researchers, and students in university, industrial, and government courses on regression, this text is an excellent introduction to the subject and an efficient means of learning how to use a valuable analytical tool. It will also prove an invaluable reference resource for applied scientists and statisticians.
736 pages, Hardcover
First published January 1, 1981
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128 people want to read
About the author
Norman R. Draper
8?books3?followersDr. Norman R. Draper was professor emeritus and distinguished professor of the Department of Statistics at University of Wisconsin.
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April 29, 2022
I read this book in search of an understanding of linear regression in general. I found a lot of information about the subject. The author goes very deep into several approaches to performing regressions. However, I must admit I found much more than I was expecting to find. Something that I really liked about this book is the plethora of examples provided across multiple chapters.
Since I teach statistics in my class, I found very useful insights about simple linear regression, multiple linear regression, step forward, and backward regression which I plan to use to teach in my class.
Since I teach statistics in my class, I found very useful insights about simple linear regression, multiple linear regression, step forward, and backward regression which I plan to use to teach in my class.
October 3, 2014
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§°§ä§Ø§Ö, §á§à§á§â§Ú §ã§Ó?§Û §Ó?§Ü, §Ü§ß§Ú§Ø§Ü§Ñ §Ó§Ñ§â§ä§Ñ §å§Ó§Ñ§Ô§Ú: §ñ§Ü ?§â§å§ß§ä§à§Ó§ß§Ú§Û §Ó§ã§ä§å§á §Õ§à §â§Ö§Ô§â§Ö§ã?§Û§ß§à§Ô§à §Ñ§ß§Ñ§Ý?§Ù§å, §ñ§Ü§Ú§Û §ß§Ö ? §ä§Ö§à§â§Ö§ä§Ú§é§ß§Ú§Þ, §Ñ§Ý§Ö §Õ§å§Ø§Ö §á§â§Ñ§Ü§ä§Ú§é§ß§à §Ù§à§â??§ß§ä§à§Ó§Ñ§ß§Ú§Þ.
§±§à-§Õ§â§å§Ô§Ö, §Ñ§Ó§ä§à§â §á§à§Õ§Ñ§ð§ä§î §Ü§à§â§à§ä§Ü§Ú§Û §à§Ô§Ý§ñ§Õ §Þ§Ö§ä§à§Õ?§Ó §á§à§Ò§å§Õ§à§Ó§Ú §ß§Ö§Ý?§ß?§Û§ß§Ú§ç §â§Ö§Ô§â§Ö§ã?§Û. §©§Ó?§ã§ß§à, §ã§ä§Ñ§ß§à§Þ §ß§Ñ 1982 §â. §è§Ö §Ò§å§Ý§Ñ §ß§à§Ó§Ñ §ä§Ñ §ß§Ö§Ù§Ó?§Õ§Ñ§ß§Ñ §Õ?§Ý§ñ§ß§Ü§Ñ. §´§â§Ú§Õ§è§ñ§ä§î §â§à§Ü?§Ó §á§à §ä§à§Þ§å §ß§Ñ§á§â§Ñ§è§ð§Ó§Ñ§ß§î §á§à§Ò?§Ý§î§ê§Ñ§Ý§à. §¡§Ý§Ö §Ù §Ò§Ñ§Ù§à§Ó§Ú§Þ§Ú §á§â§à§Ò§Ý§Ö§Þ§Ñ§Þ§Ú §Ó §è?§Û §á§â§Ñ§è? §á§à§Ù§ß§Ñ§Û§à§Þ§Ú§ä§Ú§ã§ñ §Þ§à§Ø§ß§Ñ.
§±§à-§ä§â§Ö§ä?, §Ñ§Ó§ä§à§â§Ú §â§à§Ù§Ô§Ý§ñ§Õ§Ñ§ð§ä§î §Þ§à§Ø§Ý§Ú§Ó?§ã§ä§î §Ó§Ú§Ü§à§â§Ú§ã§ä§Ñ§ß§ß§ñ §Þ§Ö§ä§à§Õ?§Ó §â§Ö§Ô§â§Ö§ã?§Û§ß§à§Ô§à §Ñ§ß§Ñ§Ý?§Ù§å §Õ§à §Ù§Ñ§Õ§Ñ§é §Õ§Ú§ã§á§Ö§â§ã?§Û§ß§à§Ô§à §Ñ§ß§Ñ§Ý?§Ù§å. §±?§ã§Ý§ñ §â§à§Ò§à§ä§Ú §è§Ö §Ó§Ø§Ö §ß§Ö §Ó§Ú§Õ§Ñ?§ä§î§ã§ñ §ä§Ñ§Ü§à§ð §ß§à§Ó§Ú§ß§Ü§à§ð, §Ñ§Õ§Ø§Ö §Ó §à§Ò§à§ç §Ó§Ú§á§Ñ§Õ§Ü§Ñ§ç §Ó§Ú§Ü§à§â§Ú§ã§ä§à§Ó§å?§Þ§à §®§¯§¬. §£§ä?§Þ, §Ó§Ñ§â§ä§à§ð §å§Ó§Ñ§Ô§Ú ? §Õ§å§Þ§Ü§Ñ §Ñ§Ó§ä§à§â?§Ó, §ë§à §Ó §Õ§Ú§ã§á§Ö§â§ã?§Û§ß§à§Þ§å §Ñ§ß§Ñ§Ý?§Ù? §Õ§à§ã§Ý?§Õ§ß§Ú§Ü §ä§Ñ§Ü§à§Ø §Ò§å§Õ§å? §Þ§à§Õ§Ö§Ý§î (§ß§Ñ§á§â§Ú§Ü§Ý§Ñ§Õ, §Ý?§ß?§Û§ß§å, §Ñ§Ý§Ö §Þ§à§Ø§ß§Ñ ? §Ü§Ó§Ñ§Õ§â§Ñ§ä§Ú§é§ß§å).
§°§ä§Ø§Ö, §á§à§á§â§Ú §ã§Ó?§Û §Ó?§Ü, §Ü§ß§Ú§Ø§Ü§Ñ §Ó§Ñ§â§ä§Ñ §å§Ó§Ñ§Ô§Ú: §ñ§Ü ?§â§å§ß§ä§à§Ó§ß§Ú§Û §Ó§ã§ä§å§á §Õ§à §â§Ö§Ô§â§Ö§ã?§Û§ß§à§Ô§à §Ñ§ß§Ñ§Ý?§Ù§å, §ñ§Ü§Ú§Û §ß§Ö ? §ä§Ö§à§â§Ö§ä§Ú§é§ß§Ú§Þ, §Ñ§Ý§Ö §Õ§å§Ø§Ö §á§â§Ñ§Ü§ä§Ú§é§ß§à §Ù§à§â??§ß§ä§à§Ó§Ñ§ß§Ú§Þ.
September 9, 2014
?§â§å§ß§ä§à§Ó§ß§Ñ §á§â§Ñ§è§ñ §á§â§à §â§Ö§Ô§â§Ö§ã??, §Õ§Ö §ß§Ö §á§â§à§ã§ä§à §à§Ò§Ô§à§Ó§à§â§ð§ð§ä§î§ã§ñ §à§ã§ß§à§Ó§ß? §á§â§Ú§ß§è§Ú§á§Ú (§å §æ§à§â§Þ? §Ù§Ó§Ú§é§Ñ§Û§ß§Ú§ç §ä§Ñ §Þ§Ñ§ä§â§Ú§é§ß§Ú§ç §â?§Ó§ß§ñ§ß§î) §â§Ö§Ô§â§Ö§ã?§Û§ß§à§Ô§à §Ñ§ß§Ñ§Ý?§Ù§å, §Ñ§Ý§Ö ? §â§à§Ù§Ü§â§Ú§Ó§Ñ§ð§ä§î§ã§ñ §ã§Ö§Ü§â§Ö§ä§Ú ?§ß§ä§Ö§â§á§â§Ö§ä§Ñ§è?? §ä§Ñ §á§à§Ò§å§Õ§à§Ó§Ú §â§Ö§Ô§â§Ö§ã?§Û§ß§Ú§ç §Þ§à§Õ§Ö§Ý§Ö§Û.
§£§Ù§Ñ§Ô§Ñ§Ý?, §ã§Ö§ß§ã§å §á§Ö§â§Ö§Ü§Ñ§Ù§å§Ó§Ñ§ä§Ú §Ù§Þ?§ã§ä §á§â§Ñ§è? §ß§Ö§Þ§Ñ?, §Ò§à §á§â§à§ã§ä?§ê§Ö ?? §á§â§à§é§Ú§ä§Ñ§ä§Ú, §Ñ§Ý§Ö §Ü§à§â§à§ä§Ü§à §à§Ù§ß§Ñ§é§å §à§ã§ß§à§Ó§ß? §á§å§ß§Ü§ä§Ú, §ñ§Ü? §Ó§Ú§ñ§Ó§Ú§Ý§Ú§ã§ñ §Ó§Ñ§Ø§Ý§Ú§Ó§Ú§Þ§Ú §Õ§Ý§ñ §Þ§Ö§ß§Ö:
1) OLS §ä§Ñ WLS: §à§ã§à§Ò§Ý§Ú§Ó§à§ã§ä? ?§ç §Ù§Ñ§ã§ä§à§ã§å§Ó§Ñ§ß§ß§ñ;
2) R^2 §ä§Ñ "§á?§Õ§Ó§à§Õ§ß? §Ü§Ñ§Þ§Ö§ß?" §å §Û§à§Ô§à §Ó§Ú§Ü§à§â§Ú§ã§ä§Ñ§ß§ß?;
3) §á§Ö§â§Ö§ä§Ó§à§â§Ö§ß§ß§ñ §Ù§Þ?§ß§ß§Ú§ç;
4) §Ñ§ß§Ñ§Ý?§Ù §Ù§Ñ§Ý§Ú§ê§Ü?§Ó;
5) §Ü§à§Ý?§ß§Ö§Ñ§â§ß?§ã§ä§î;
6) §Õ§à§Ó?§â§é? ?§ß§ä§Ö§â§Ó§Ñ§Ý§Ú §Õ§Ý§ñ §Ü§à§Ö§æ. §â§Ö§Ô§â§Ö§ã??: §é§à§Þ§å ?§Þ §ß§Ö §Ó§Ñ§â§ä§à §Ñ§Ø §ä§Ñ§Ü §Õ§à§Ó?§â§ñ§ä§Ú.
§£ §â§à§Ò§à§ä? §Ò§â§Ñ§Ü§å? §Ò?§Ý§î§ê §Õ§Ö§ä§Ñ§Ý§î§ß§à§Ô§à §à§Ô§Ý§ñ§Õ§å §ã§á§à§ã§à§Ò?§Ó §Ó§Ú§ñ§Ó§Ý§Ö§ß§ß§ñ §á§à§â§å§ê§Ö§ß§î §å§Þ§à§Ó §®§¯§¬ (§à§ã§à§Ò§Ý§Ú§Ó§à §ë§à§Õ§à §á§à§Þ§Ú§Ý§à§Ü). §¯§Ñ §Ø§Ñ§Ý§î, §Ñ§Ó§ä§à§â§Ú §á§â§à§á§à§ß§å§ð§ä§î §Ý§Ú§ê§Ö §Ó?§Ù§å§Ñ§Ý§î§ß§Ú§Û §Ñ§ß§Ñ§Ý?§Ù §Ô§â§Ñ§æ?§Ü?§Ó §Ù§Ñ§Ý§Ú§ê§Ü?§Ó, §é§à§Ô§à §ä§â§à§ç§Ú §Ù§Ñ§Þ§Ñ§Ý§à, §à§ã§à§Ò§Ý§Ú§Ó§à §Ó §å§Þ§à§Ó§Ñ§ç §Ü?§Ý§î§Ü§à§ç §á§â§Ö§Õ§Ú§Ü§ä§à§â?§Ó.
§¡§Ý§Ö §Ù§Ñ§Ô§Ñ§Ý§à§Þ §â§à§Ò§à§ä§Ñ ? §Ô§Ñ§â§ß§Ú§Þ ? §Õ§à§Ó§à§Ý? §á§â§à§ã§ä§Ú§Þ, §Ñ§Ý§Ö §Ó§à§Õ§ß§à§é§Ñ§ã §Ô§Ý§Ú§Ò§à§Ü§Ú§Þ §Ó§ã§ä§å§á§à§Þ §Õ§à §â§Ö§Ô§â§Ö§ã?§Û§ß§à§Ô§à §Ñ§ß§Ñ§Ý?§Ù§å.
§£§Ù§Ñ§Ô§Ñ§Ý?, §ã§Ö§ß§ã§å §á§Ö§â§Ö§Ü§Ñ§Ù§å§Ó§Ñ§ä§Ú §Ù§Þ?§ã§ä §á§â§Ñ§è? §ß§Ö§Þ§Ñ?, §Ò§à §á§â§à§ã§ä?§ê§Ö ?? §á§â§à§é§Ú§ä§Ñ§ä§Ú, §Ñ§Ý§Ö §Ü§à§â§à§ä§Ü§à §à§Ù§ß§Ñ§é§å §à§ã§ß§à§Ó§ß? §á§å§ß§Ü§ä§Ú, §ñ§Ü? §Ó§Ú§ñ§Ó§Ú§Ý§Ú§ã§ñ §Ó§Ñ§Ø§Ý§Ú§Ó§Ú§Þ§Ú §Õ§Ý§ñ §Þ§Ö§ß§Ö:
1) OLS §ä§Ñ WLS: §à§ã§à§Ò§Ý§Ú§Ó§à§ã§ä? ?§ç §Ù§Ñ§ã§ä§à§ã§å§Ó§Ñ§ß§ß§ñ;
2) R^2 §ä§Ñ "§á?§Õ§Ó§à§Õ§ß? §Ü§Ñ§Þ§Ö§ß?" §å §Û§à§Ô§à §Ó§Ú§Ü§à§â§Ú§ã§ä§Ñ§ß§ß?;
3) §á§Ö§â§Ö§ä§Ó§à§â§Ö§ß§ß§ñ §Ù§Þ?§ß§ß§Ú§ç;
4) §Ñ§ß§Ñ§Ý?§Ù §Ù§Ñ§Ý§Ú§ê§Ü?§Ó;
5) §Ü§à§Ý?§ß§Ö§Ñ§â§ß?§ã§ä§î;
6) §Õ§à§Ó?§â§é? ?§ß§ä§Ö§â§Ó§Ñ§Ý§Ú §Õ§Ý§ñ §Ü§à§Ö§æ. §â§Ö§Ô§â§Ö§ã??: §é§à§Þ§å ?§Þ §ß§Ö §Ó§Ñ§â§ä§à §Ñ§Ø §ä§Ñ§Ü §Õ§à§Ó?§â§ñ§ä§Ú.
§£ §â§à§Ò§à§ä? §Ò§â§Ñ§Ü§å? §Ò?§Ý§î§ê §Õ§Ö§ä§Ñ§Ý§î§ß§à§Ô§à §à§Ô§Ý§ñ§Õ§å §ã§á§à§ã§à§Ò?§Ó §Ó§Ú§ñ§Ó§Ý§Ö§ß§ß§ñ §á§à§â§å§ê§Ö§ß§î §å§Þ§à§Ó §®§¯§¬ (§à§ã§à§Ò§Ý§Ú§Ó§à §ë§à§Õ§à §á§à§Þ§Ú§Ý§à§Ü). §¯§Ñ §Ø§Ñ§Ý§î, §Ñ§Ó§ä§à§â§Ú §á§â§à§á§à§ß§å§ð§ä§î §Ý§Ú§ê§Ö §Ó?§Ù§å§Ñ§Ý§î§ß§Ú§Û §Ñ§ß§Ñ§Ý?§Ù §Ô§â§Ñ§æ?§Ü?§Ó §Ù§Ñ§Ý§Ú§ê§Ü?§Ó, §é§à§Ô§à §ä§â§à§ç§Ú §Ù§Ñ§Þ§Ñ§Ý§à, §à§ã§à§Ò§Ý§Ú§Ó§à §Ó §å§Þ§à§Ó§Ñ§ç §Ü?§Ý§î§Ü§à§ç §á§â§Ö§Õ§Ú§Ü§ä§à§â?§Ó.
§¡§Ý§Ö §Ù§Ñ§Ô§Ñ§Ý§à§Þ §â§à§Ò§à§ä§Ñ ? §Ô§Ñ§â§ß§Ú§Þ ? §Õ§à§Ó§à§Ý? §á§â§à§ã§ä§Ú§Þ, §Ñ§Ý§Ö §Ó§à§Õ§ß§à§é§Ñ§ã §Ô§Ý§Ú§Ò§à§Ü§Ú§Þ §Ó§ã§ä§å§á§à§Þ §Õ§à §â§Ö§Ô§â§Ö§ã?§Û§ß§à§Ô§à §Ñ§ß§Ñ§Ý?§Ù§å.
April 8, 2012
buku pegangang kuliah pengantar analisis multivariat yang gw ambil semester ini
June 25, 2014
ok, very good!!! excellent!!
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September 10, 2014speechless
November 14, 2008
One statistics class down, two more to go!!
February 28, 2009
yikes.... book 1 of statistics hell!
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