Read Multivariate Logarithmic and Exponential Regression Models

Multivariate Logarithmic and Exponential Regression Models

C. A. Graver

4.9/5 (14368 ratings)

Description:This study analyzes a multivariate exponential regression function. Two basic types of error assumptions are examined: multiplicative (logarithmic model) and additive (exponential model). The usual method of taking natural logarithms of the regression relationship and then using linear least-squares estimators for the parameter estimates assumes that the error is multiplicative. Analysis shows that only the estimate of the parameter in the coefficient term and its distribution are affected by whether the hypothetical regression function is equal to the expected value (the mean) of the dependent variable Y, or to the median. The other parameter estimates, their distribution, and the prediction interval of Y are not affected. The study also examines the exponential, or additive, model in which the error is assumed to be normally distributed and added to the function. This leads to the more difficult problem of least-squares estimation of a nonlinear form. Such a solution is not exact and may not be unique. Methods of comparing the two models are given. The bulk of the Memorandum describes, lists, and gives instructions for use of the Multivariate Logarithmic and Exponential Computer Program.We have made it easy for you to find a PDF Ebooks without any digging. And by having access to our ebooks online or by storing it on your computer, you have convenient answers with Multivariate Logarithmic and Exponential Regression Models. To get started finding Multivariate Logarithmic and Exponential Regression Models, you are right to find our website which has a comprehensive collection of manuals listed.
Our library is the biggest of these that have literally hundreds of thousands of different products represented.

Pages: 302

Format: PDF, EPUB & Kindle Edition

Publisher: —

Release: 1967

ISBN: hIIPAQAAMAAJ

Description: This study analyzes a multivariate exponential regression function. Two basic types of error assumptions are examined: multiplicative (logarithmic model) and additive (exponential model). The usual method of taking natural logarithms of the regression relationship and then using linear least-squares estimators for the parameter estimates assumes that the error is multiplicative. Analysis shows that only the estimate of the parameter in the coefficient term and its distribution are affected by whether the hypothetical regression function is equal to the expected value (the mean) of the dependent variable Y, or to the median. The other parameter estimates, their distribution, and the prediction interval of Y are not affected. The study also examines the exponential, or additive, model in which the error is assumed to be normally distributed and added to the function. This leads to the more difficult problem of least-squares estimation of a nonlinear form. Such a solution is not exact and may not be unique. Methods of comparing the two models are given. The bulk of the Memorandum describes, lists, and gives instructions for use of the Multivariate Logarithmic and Exponential Computer Program.We have made it easy for you to find a PDF Ebooks without any digging. And by having access to our ebooks online or by storing it on your computer, you have convenient answers with Multivariate Logarithmic and Exponential Regression Models. To get started finding Multivariate Logarithmic and Exponential Regression Models, you are right to find our website which has a comprehensive collection of manuals listed.
Our library is the biggest of these that have literally hundreds of thousands of different products represented.

Special Offer | $0.00

Special Offer! | $0.00

Multivariate Logarithmic and Exponential Regression Models

Multivariate Logarithmic and Exponential Regression Models

More Books

C'est Pas Grave, Ça Va Passer

C'est Pas Grave, Ça Va Passer

Super-héros, ça craint (grave)

Super-héros, ça craint (grave)

C'est pas grave, ça va pas durer

C'est pas grave, ça va pas durer

" Ce n'est pas grave ": et pourtant ça l'est toujours (French Edition)

" Ce n'est pas grave ": et pourtant ça l'est toujours (French Edition)

Ca pousse grave ! (Les Gosses, #15)

Ca pousse grave ! (Les Gosses, #15)

Carpet Diem (A Tallie Graver Mystery #4)

Carpet Diem (A Tallie Graver Mystery #4)

Vampire, ça craint (grave)

Vampire, ça craint (grave)

Ca va ch...* grave! (Beurk N°3 - La cruelle histoire de l'humanité)

Ca va ch...* grave! (Beurk N°3 - La cruelle histoire de l'humanité)

Tout ce que je voudrais leur dire - Carnet d'ingratitude - 100 pages lignées pour tout leur balancer - Couverture mate et papier haute qualité - ... ça fait grave du bien ! (French Edition)

Tout ce que je voudrais leur dire - Carnet d'ingratitude - 100 pages lignées pour tout leur balancer - Couverture mate et papier haute qualité - ... ça fait grave du bien ! (French Edition)