9781420091977 - regression modeling: methods, theory, and computation with sas de panik, michael (15 resultados)

Hardcover. Condición: New. No Jacket. 1st Edition. This is a new hardcover first edition, first printing copy, no DJ, purple spine. 814 pages with index, MEDIA SHIPPING ONLY, extra for airmail or international shipping. Photos on request.

Hardcover. Condición: Very Good. None Issued. Text is unmarked; pages are bright. Binding is sturdy. Covers show just a little light wear around the corners. No dust jacket, as issued. International/Priority shipping at cost. 814pp.

Condición: As New. Unread book in perfect condition.

Condición: As New. Unread book in perfect condition.

Condición: New.

Hardcover. Condición: new. Hardcover. Regression Modeling: Methods, Theory, and Computation with SAS provides an introduction to a diverse assortment of regression techniques using SAS to solve a wide variety of regression problems. The author fully documents the SAS programs and thoroughly explains the output produced by the programs. The text presents the popular ordinary least squares (OLS) approach before introducing many alternative regression methods. It covers nonparametric regression, logistic regression (including Poisson regression), Bayesian regression, robust regression, fuzzy regression, random coefficients regression, L1 and q-quantile regression, regression in a spatial domain, ridge regression, semiparametric regression, nonlinear least squares, and time-series regression issues. For most of the regression methods, the author includes SAS procedure code, enabling readers to promptly perform their own regression runs. A Comprehensive, Accessible Source on Regression Methodology and Modeling Requiring only basic knowledge of statistics and calculus, this book discusses how to use regression analysis for decision making and problem solving.It shows readers the power and diversity of regression techniques without overwhelming them with calculations. Presents an introduction to a diverse assortment of regression techniques using SAS to solve a wide variety of regression problems. This title documents the SAS programs and explains the output produced by the programs. It also covers nonlinear and time series modeling. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.…

Condición: New.

Condición: New. Presents an introduction to a diverse assortment of regression techniques using SAS to solve a wide variety of regression problems. This title documents the SAS programs and explains the output produced by the programs. It also covers nonlinear and time series modeling. Num Pages: 830 pages, 94 black & white illustrations, 217 black & white tables. BIC Classification: UFM. Category: (P) Professional & Vocational. Dimension: 254 x 178 x 51. Weight in Grams: 1655. . 2009. Hardback. . . . . …

Condición: New. pp. 830 Index 1st Edition.

Condición: New. pp. 830.

Condición: New. Panik, MichaelRegression Modeling: Methods, Theory, and Computation with SAS provides an introduction to a diverse assortment of regression techniques using SAS to solve a wide variety of regression problems. The author fully doc.

Condición: New. Presents an introduction to a diverse assortment of regression techniques using SAS to solve a wide variety of regression problems. This title documents the SAS programs and explains the output produced by the programs. It also covers nonlinear and time series modeling. Num Pages: 830 pages, 94 black & white illustrations, 217 black & white tables. BIC Classification: UFM. Category: (P) Professional & Vocational. Dimension: 254 x 178 x 51. Weight in Grams: 1655. . 2009. Hardback. . . . . Books ship from the US and Ireland. …

Hardcover. Condición: Brand New. 1st edition. 830 pages. 10.28x7.17x1.57 inches. In Stock.

Hardcover. Condición: new. Hardcover. Regression Modeling: Methods, Theory, and Computation with SAS provides an introduction to a diverse assortment of regression techniques using SAS to solve a wide variety of regression problems. The author fully documents the SAS programs and thoroughly explains the output produced by the programs. The text presents the popular ordinary least squares (OLS) approach before introducing many alternative regression methods. It covers nonparametric regression, logistic regression (including Poisson regression), Bayesian regression, robust regression, fuzzy regression, random coefficients regression, L1 and q-quantile regression, regression in a spatial domain, ridge regression, semiparametric regression, nonlinear least squares, and time-series regression issues. For most of the regression methods, the author includes SAS procedure code, enabling readers to promptly perform their own regression runs. A Comprehensive, Accessible Source on Regression Methodology and Modeling Requiring only basic knowledge of statistics and calculus, this book discusses how to use regression analysis for decision making and problem solving.It shows readers the power and diversity of regression techniques without overwhelming them with calculations. Presents an introduction to a diverse assortment of regression techniques using SAS to solve a wide variety of regression problems. This title documents the SAS programs and explains the output produced by the programs. It also covers nonlinear and time series modeling. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.…

Condición: New. pp. 830 n/a This item is printed on demand.