Handbook Regression Methods by Young Derek (15 results)

Condition: New. This is a Brand-new US Edition. This Item may be shipped from US or any other country as we have multiple locations worldwide.

Condition: New. pp. 654.

Condition: New. pp. 654.

Condition: New. pp. 654.

Hardcover. Condition: New. NEW. SHIPS FROM MULTIPLE LOCATIONS. book.

Condition: New.

Hardcover. Condition: new. Hardcover. Handbook of Regression Methods concisely covers numerous traditional, contemporary, and nonstandard regression methods. The handbook provides a broad overview of regression models, diagnostic procedures, and inference procedures, with emphasis on how these methods are applied. The organization of the handbook benefits both practitioners and researchers, who seek either to obtain a quick understanding of regression methods for specialized problems or to expand their own breadth of knowledge of regression topics.This handbook covers classic material about simple linear regression and multiple linear regression, including assumptions, effective visualizations, and inference procedures. It presents an overview of advanced diagnostic tests, remedial strategies, and model selection procedures. Finally, many chapters are devoted to a diverse range of topics, including censored regression, nonlinear regression, generalized linear models, and semiparametric regression. Features Presents a concise overview of a wide range of regression topics not usually covered in a single text Includes over 80 examples using nearly 70 real datasets, with results obtained using R Offers a Shiny app containing all examples, thus allowing access to the source code and the ability to interact with the analyses This book provides a broad survey of both standard and nonstandard regression. Topics include those typically covered in a Master's-level statistics regression course- simple/multiple linear regression, residual analysis, ANOVA and specialized topics like biased regression procedures, multivariate regression, and count regression models. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.…

Condition: As New. Unread book in perfect condition.

Condition: New. Num Pages: 500 pages, 50 black & white illustrations. BIC Classification: PBT. Category: (G) General (US: Trade); (U) Tertiary Education (US: College). Dimension: 235 x 156. . . 2017. 1st Edition. Hardcover. . . . .

Condition: New.

Condition: New. Derek Young is an assistant professor of statistics at the University of Kentucky. He has over ten years of experience as a statistician, including positions in industry, government, and academia. During this time, he has also taught online courses in re.

Condition: As New. Unread book in perfect condition.

Hardcover. Condition: Brand New. 632 pages. 9.50x6.50x1.75 inches. In Stock.

Condition: New. Num Pages: 500 pages, 50 black & white illustrations. BIC Classification: PBT. Category: (G) General (US: Trade); (U) Tertiary Education (US: College). Dimension: 235 x 156. . . 2017. 1st Edition. Hardcover. . . . . Books ship from the US and Ireland.

Hardcover. Condition: new. Hardcover. Handbook of Regression Methods concisely covers numerous traditional, contemporary, and nonstandard regression methods. The handbook provides a broad overview of regression models, diagnostic procedures, and inference procedures, with emphasis on how these methods are applied. The organization of the handbook benefits both practitioners and researchers, who seek either to obtain a quick understanding of regression methods for specialized problems or to expand their own breadth of knowledge of regression topics.This handbook covers classic material about simple linear regression and multiple linear regression, including assumptions, effective visualizations, and inference procedures. It presents an overview of advanced diagnostic tests, remedial strategies, and model selection procedures. Finally, many chapters are devoted to a diverse range of topics, including censored regression, nonlinear regression, generalized linear models, and semiparametric regression. Features Presents a concise overview of a wide range of regression topics not usually covered in a single text Includes over 80 examples using nearly 70 real datasets, with results obtained using R Offers a Shiny app containing all examples, thus allowing access to the source code and the ability to interact with the analyses This book provides a broad survey of both standard and nonstandard regression. Topics include those typically covered in a Master's-level statistics regression course- simple/multiple linear regression, residual analysis, ANOVA and specialized topics like biased regression procedures, multivariate regression, and count regression models. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.…