9780471469438 - SAS Regression and ANOVA: An Integrated Approach Using Sas Software di Muller, Keith E. (21 risultati)

paperback. Condizione: Like New. 1st Edition. Ships in a BOX from Central Missouri! Like Brand NEW. No tears, highlighting or writing because it's never been used! May have minor shelf wear. UPS shipping for most packages, (Priority Mail for AK/HI/APO/PO Boxes).

paperback. Condizione: New. 1st Edition. Ships in a BOX from Central Missouri! UPS shipping for most packages, (Priority Mail for AK/HI/APO/PO Boxes).

PAP. Condizione: New. New Book. Shipped from UK. Established seller since 2000.

Condizione: New.

Condizione: As New. Unread book in perfect condition.

Condizione: new.

Condizione: New.

Condizione: New. In.

Condizione: As New. Unread book in perfect condition.

Paperback. Condizione: new. Paperback. The information contained in this book has served as the basis for a graduate-level biostatistics class at the University of North Carolina at Chapel Hill. The book focuses in the General Linear Model (GLM) theory, stated in matrix terms, which provides a more compact, clear, and unified presentation of regression of ANOVA than do traditional sums of squares and scalar equations. The book contains a balanced treatment of regression and ANOVA yet is very compact. Reflecting current computational practice, most sums of squares formulas and associated theory, especially in ANOVA, are not included. The text contains almost no proofs, despite the presence of a large number of basic theoretical results. Many numerical examples are provided, and include both the SAS code and equivalent mathematical representation needed to produce the outputs that are presented. All exercises involve only "real" data, collected in the course of scientific research. The book is divided into sections covering the following topics: * Basic Theory * Multiple Regression * Model Building and Evaluation * ANOVA * ANCOVA * Contains a balanced treatment of regression and ANOVA yet is very compact. * Reflecting current computational practice, most sums of squares formulas and associated theory, especially in ANOVA, are not included. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

Condizione: New. pp. xi + 566.

paperback. Condizione: New. In shrink wrap. Looks like an interesting title!

Condizione: New. This text focuses on the general linear model (GLM) theory, stated in matrix terms, which provides a more compact, clear and unified presentation of regression and ANOVA than do traditional sums of squares and scalar equations. Num Pages: 592 pages, black & white illustrations. BIC Classification: PBK; PBT; UFM. Category: (P) Professional & Vocational. Dimension: 281 x 212 x 31. Weight in Grams: 1328. . 2003. 1st Edition. Paperback. . . . .

Condizione: New. pp. xi + 566.

Condizione: New. Keith E. Muller, Ph.D., is Associate Professor of Biostatistics at the University of North Carolina at Chapel Hill. He teaches classes and seminars in the theory and practice of univariate and multivariate linear models with Gaussian errors. A SAS user sinc.

Paperback. Condizione: Brand New. 592 pages. 10.50x8.25x1.25 inches. In Stock.

Condizione: New. This text focuses on the general linear model (GLM) theory, stated in matrix terms, which provides a more compact, clear and unified presentation of regression and ANOVA than do traditional sums of squares and scalar equations. Num Pages: 592 pages, black & white illustrations. BIC Classification: PBK; PBT; UFM. Category: (P) Professional & Vocational. Dimension: 281 x 212 x 31. Weight in Grams: 1328. . 2003. 1st Edition. Paperback. . . . . Books ship from the US and Ireland.

Taschenbuch. Condizione: Neu. Neuware - The information contained in this book has served as the basis for a graduate-level biostatistics class at the University of North Carolina at Chapel Hill. The book focuses in the General Linear Model (GLM) theory, stated in matrix terms, which provides a more compact, clear, and unified presentation of regression of ANOVA than do traditional sums of squares and scalar equations.The book contains a balanced treatment of regression and ANOVA yet is very compact. Reflecting current computational practice, most sums of squares formulas and associated theory, especially in ANOVA, are not included. The text contains almost no proofs, despite the presence of a large number of basic theoretical results. Many numerical examples are provided, and include both the SAS code and equivalent mathematical representation needed to produce the outputs that are presented.All exercises involve only 'real' data, collected in the course of scientific research. The book is divided into sections covering the following topics:\* Basic Theory\* Multiple Regression\* Model Building and Evaluation\* ANOVA\* ANCOVA.

Paperback. Condizione: new. Paperback. The information contained in this book has served as the basis for a graduate-level biostatistics class at the University of North Carolina at Chapel Hill. The book focuses in the General Linear Model (GLM) theory, stated in matrix terms, which provides a more compact, clear, and unified presentation of regression of ANOVA than do traditional sums of squares and scalar equations. The book contains a balanced treatment of regression and ANOVA yet is very compact. Reflecting current computational practice, most sums of squares formulas and associated theory, especially in ANOVA, are not included. The text contains almost no proofs, despite the presence of a large number of basic theoretical results. Many numerical examples are provided, and include both the SAS code and equivalent mathematical representation needed to produce the outputs that are presented. All exercises involve only "real" data, collected in the course of scientific research. The book is divided into sections covering the following topics: * Basic Theory * Multiple Regression * Model Building and Evaluation * ANOVA * ANCOVA * Contains a balanced treatment of regression and ANOVA yet is very compact. * Reflecting current computational practice, most sums of squares formulas and associated theory, especially in ANOVA, are not included. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.

Paperback. Condizione: new. Paperback. The information contained in this book has served as the basis for a graduate-level biostatistics class at the University of North Carolina at Chapel Hill. The book focuses in the General Linear Model (GLM) theory, stated in matrix terms, which provides a more compact, clear, and unified presentation of regression of ANOVA than do traditional sums of squares and scalar equations. The book contains a balanced treatment of regression and ANOVA yet is very compact. Reflecting current computational practice, most sums of squares formulas and associated theory, especially in ANOVA, are not included. The text contains almost no proofs, despite the presence of a large number of basic theoretical results. Many numerical examples are provided, and include both the SAS code and equivalent mathematical representation needed to produce the outputs that are presented. All exercises involve only "real" data, collected in the course of scientific research. The book is divided into sections covering the following topics: * Basic Theory * Multiple Regression * Model Building and Evaluation * ANOVA * ANCOVA * Contains a balanced treatment of regression and ANOVA yet is very compact. * Reflecting current computational practice, most sums of squares formulas and associated theory, especially in ANOVA, are not included. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.

Paperback. Condizione: Brand New. 592 pages. 10.50x8.25x1.25 inches. In Stock. This item is printed on demand.