Applied Regression Analysis: Edition 3

ยท
ยท John Wiley & Sons
4.5
แž€แžถแžšแžœแžถแž™แžแž˜แŸ’แž›แŸƒ 2
แžŸแŸ€แžœแž—แŸ…โ€‹แžขแŸแžกแžทแž…แžแŸ’แžšแžผแž“แžทแž…
736
แž‘แŸ†แž–แŸแžš
แž€แžถแžšแžœแžถแž™แžแž˜แŸ’แž›แŸƒ แž“แžทแž„แž˜แžแžทแžœแžถแž™แžแž˜แŸ’แž›แŸƒแž˜แžทแž“แžแŸ’แžšแžผแžœแž”แžถแž“แž•แŸ’แž‘แŸ€แž„แž•แŸ’แž‘แžถแžแŸ‹แž‘แŸ แžŸแŸ’แžœแŸ‚แž„แž™แž›แŸ‹แž”แž“แŸ’แžแŸ‚แž˜

แžขแŸ†แž–แžธแžŸแŸ€แžœแž—แŸ…โ€‹แžขแŸแžกแžทแž…แžแŸ’แžšแžผแž“แžทแž€แž“แŸแŸ‡

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.

แž€แžถแžšแžŠแžถแž€แŸ‹แž•แŸ’แž€แžถแž™ แž“แžทแž„แž˜แžแžทแžœแžถแž™แžแž˜แŸ’แž›แŸƒ

4.5
แž€แžถแžšแžœแžถแž™แžแž˜แŸ’แž›แŸƒ 2

แžขแŸ†แž–แžธโ€‹แžขแŸ’แž“แž€แž“แžทแž–แž“แŸ’แž’

NORMAN R. DRAPER teaches in the Department of Statistics at the University of Wisconsin. HARRY SMITH is a former faculty member of the Mt. Sinai School of Medicine.

แžœแžถแž™แžแž˜แŸ’แž›แŸƒแžŸแŸ€แžœแž—แŸ…โ€‹แžขแŸแžกแžทแž…แžแŸ’แžšแžผแž“แžทแž€แž“แŸแŸ‡

แž”แŸ’แžšแžถแž”แŸ‹แž™แžพแž„แžขแŸ†แž–แžธแž€แžถแžšแž™แž›แŸ‹แžƒแžพแž‰แžšแž”แžŸแŸ‹แžขแŸ’แž“แž€แŸ”

แžขแžถแž“โ€‹แž–แŸแžแŸŒแž˜แžถแž“

แž‘แžผแžšแžŸแž–แŸ’แž‘แž†แŸ’แž›แžถแžแžœแŸƒ แž“แžทแž„โ€‹แžแŸแž”แŸ’แž›แŸแž
แžŠแŸ†แžกแžพแž„แž€แž˜แŸ’แž˜แžœแžทแž’แžธ Google Play Books แžŸแž˜แŸ’แžšแžถแž”แŸ‹ Android แž“แžทแž„ iPad/iPhone แŸ” แžœแžถโ€‹แž’แŸ’แžœแžพแžŸแž˜แž€แžถแž›แž€แž˜แŸ’แž˜โ€‹แžŠแŸ„แž™แžŸแŸ’แžœแŸแž™แž”แŸ’แžšแžœแžแŸ’แžแžทแž‡แžถแž˜แžฝแž™โ€‹แž‚แžŽแž“แžธโ€‹แžšแž”แžŸแŸ‹แžขแŸ’แž“แž€โ€‹ แž“แžทแž„โ€‹แžขแž“แžปแž‰แŸ’แž‰แžถแžแžฑแŸ’แž™โ€‹แžขแŸ’แž“แž€แžขแžถแž“แž–แŸแž›โ€‹แž˜แžถแž“แžขแŸŠแžธแž“แž’แžบแžŽแžทแž แžฌแž‚แŸ’แž˜แžถแž“โ€‹แžขแŸŠแžธแž“แž’แžบแžŽแžทแžโ€‹แž“แŸ…แž‚แŸ’แžšแž”แŸ‹แž‘แžธแž€แž“แŸ’แž›แŸ‚แž„แŸ”
แž€แžปแŸ†แž–แŸ’แž™แžผแž‘แŸแžšโ€‹แž™แžฝแžšแžŠแŸƒ แž“แžทแž„แž€แžปแŸ†แž–แŸ’แž™แžผแž‘แŸแžš
แžขแŸ’แž“แž€แžขแžถแž…แžŸแŸ’แžŠแžถแž”แŸ‹แžŸแŸ€แžœแž—แŸ…แž‡แžถแžŸแŸ†แžกแŸแž„แžŠแŸ‚แž›แž”แžถแž“แž‘แžทแž‰แž“แŸ…แž€แŸ’แž“แžปแž„ Google Play แžŠแŸ„แž™แž”แŸ’แžšแžพแž€แž˜แŸ’แž˜แžœแžทแž’แžธแžšแžปแž€แžšแž€แžแžถแž˜แžขแŸŠแžธแž“แž’แžบแžŽแžทแžแž€แŸ’แž“แžปแž„แž€แžปแŸ†แž–แŸ’แž™แžผแž‘แŸแžšแžšแž”แžŸแŸ‹แžขแŸ’แž“แž€แŸ”
eReaders แž“แžทแž„โ€‹แžงแž”แž€แžšแžŽแŸโ€‹แž•แŸ’แžŸแŸแž„โ€‹แž‘แŸ€แž
แžŠแžพแž˜แŸ’แž”แžธแžขแžถแž“แž“แŸ…แž›แžพโ€‹แžงแž”แž€แžšแžŽแŸ e-ink แžŠแžผแž…แž‡แžถโ€‹แžงแž”แž€แžšแžŽแŸแžขแžถแž“โ€‹แžŸแŸ€แžœแž—แŸ…แžขแŸแžกแžทแž…แžแŸ’แžšแžผแž“แžทแž€ Kobo แžขแŸ’แž“แž€แž“แžนแž„แžแŸ’แžšแžผแžœโ€‹แž‘แžถแž‰แž™แž€โ€‹แžฏแž€แžŸแžถแžš แž แžพแž™โ€‹แž•แŸ’แž‘แŸแžšแžœแžถแž‘แŸ…โ€‹แžงแž”แž€แžšแžŽแŸโ€‹แžšแž”แžŸแŸ‹แžขแŸ’แž“แž€แŸ” แžŸแžผแž˜แžขแž“แžปแžœแžแŸ’แžแžแžถแž˜โ€‹แž€แžถแžšแžŽแŸ‚แž“แžถแŸ†แž›แž˜แŸ’แžขแžทแžแžšแž”แžŸแŸ‹แž˜แž‡แŸ’แžˆแž˜แžŽแŸ’แžŒแž›แž‡แŸ†แž“แžฝแž™ แžŠแžพแž˜แŸ’แž”แžธแž•แŸ’แž‘แŸแžšแžฏแž€แžŸแžถแžšโ€‹แž‘แŸ…แžงแž”แž€แžšแžŽแŸแžขแžถแž“แžŸแŸ€แžœแž—แŸ…โ€‹แžขแŸแžกแžทแž…แžแŸ’แžšแžผแž“แžทแž€แžŠแŸ‚แž›แžŸแŸ’แž‚แžถแž›แŸ‹แŸ”

แž…แŸ’แžšแžพแž“แž‘แŸ€แžแžŠแŸ„แž™ Norman R. Draper

แžŸแŸ€แžœแž—แŸ…โ€‹แžขแŸแžกแžทแž…แžแŸ’แžšแžผแž“แžทแž€โ€‹แžŸแŸ’แžšแžŠแŸ€แž„แž‚แŸ’แž“แžถ