๐”– Scriptorium
โœฆ   LIBER   โœฆ

๐Ÿ“

Applied Linear Statistical Models

โœ Scribed by Michael H. Kutner, William Li, Christopher J. Nachtsheim, John Neter


Publisher
McGraw-Hill/Irwin
Year
2004
Tongue
English
Leaves
1415
Category
Library

โฌ‡  Acquire This Volume

No coin nor oath required. For personal study only.

โœฆ Subjects


Linear models, linear regression, statistics


๐Ÿ“œ SIMILAR VOLUMES


Applied linear statistical models
โœ Michael H Kutner, Christopher J. Nachtsheim, John Neter, William Li ๐Ÿ“‚ Library ๐Ÿ“… 2005 ๐Ÿ› McGraw-Hill Irwin ๐ŸŒ English
Applied Linear Statistical Models 5th Ed
โœ Michael H Kutner, Christopher J. Nachtsheim, John Neter, William Li ๐Ÿ“‚ Library ๐Ÿ“… 2004 ๐Ÿ› McGraw-Hill Irwin ๐ŸŒ English

Applied Linear Statistical Models 5th edition is the long established leading authoritative text and reference on statistical modeling, analysis of variance, and the design of experiments. For students in most any discipline where statistical analysis or interpretation is used, ALSM serves as the st

Linear Statistical Models
โœ James H. Stapleton ๐Ÿ“‚ Library ๐Ÿ“… 1995 ๐ŸŒ English

Linear Statistical Models Developed and refined over a period of twenty years, the material in this book offers an especially lucid presentation of linear statistical models. These models lead to what is usually called "multiple regression" or "analysis of variance" methodology, which, in tur

Linear Statistical Models
โœ James H. Stapleton ๐Ÿ“‚ Library ๐Ÿ“… 1995 ๐Ÿ› John Wiley & Sons;Wiley Interscience ๐ŸŒ English

Linear Statistical Models<br /> <br /> Developed and refined over a period of twenty years, the material in this book offers an especially lucid presentation of linear statistical models. These models lead to what is usually called "multiple regression" or "analysis of variance" methodology, which,

Linear statistical models
โœ James H. Stapleton ๐Ÿ“‚ Library ๐Ÿ“… 1995 ๐Ÿ› Wiley ๐ŸŒ English

Linear Statistical Models <p>Developed and refined over a period of twenty years, the material in this book offers an especially lucid presentation of linear statistical models. These models lead to what is usually called "multiple regression" or "analysis of variance" methodology, which, in tu