SAS for data analysis: intermediate statistical methods with 100 SAS programs

This book is an integrated treatment of applied statistical methods, presented at an intermediate level, and the SAS programming language. It serves as an advanced introduction to SAS as well as how to use SAS for the analysis of data arising from many different experimental and observational studies. While there are many introductory texts on SAS programming, statistical methods texts that solely make use of SAS as the software of choice for the analysis of dataare rare. While this is understandable from a marketability point of view, clearly such texts will serve the need of many thousands of students and professionals who desire to learn how to use SAS beyond the basic introduction they usually receive from taking an introductory statistics course. More recently, several authors in statistical methodology have begun to incorporate SAS in their texts but these books are limited to more specialized subjects. Although there are several books on SAS, this book covers a wider array of topics and at a greater depth INDICE: Introduction to SAS language.- More on SAS programming and some applications.- Statistical graphics using SAS/GRAPH.- Statistical analysis of regression models.- Analysis of variance models.- Analysis of variance: random mixed effects models.- Appendices.- References.- Index.

• ISBN: 978-0-387-77371-1
• Editorial: Springer
• Encuadernacion: Cartoné
• Páginas: 550
• Fecha Publicación: 01/08/2008
• Nº Volúmenes: 1
• Idioma: Inglés