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# A SAS/IML companion for linear models

Author: Jamis J Perrett New York : Springer, ©2010. Statistics and computing. eBook : Document : EnglishView all editions and formats Linear models courses are often presented as either theoretical or applied. Consequently, students may find themselves either proving theorems or using high-level procedures like PROC GLM to analyze data. There exists a gap between the derivation of formulas and analyses that hide these formulas behind attractive user interfaces. This book bridges that gap, demonstrating theory put into practice. Concepts presented in a theoretical linear models course are often trivialized in applied linear models courses by the facility of high-level SAS procedures like PROC MIXED and PROC REG that require the user to provide a few options and statements and in return produce vast amounts of output. This book uses PROC IML to show how analytic linear models formulas can be typed directly into PROC IML, as they were presented in the linear models course, and solved using data. This helps students see the link between theory and application. This also assists researchers in developing new methodologies in the area of linear models. The book contains complete examples of SAS code for many of the computations relevant to a linear models course. However, the SAS code in these examples automates the analytic formulas. The code for high-level procedures like PROC MIXED is also included for side-by-side comparison. The book computes basic descriptive statistics, matrix algebra, matrix decomposition, likelihood maximization, non-linear optimization, etc. in a format conducive to a linear models or a special topics course. Also included in the book is an example of a basic analysis of a linear mixed model using restricted maximum likelihood estimation (REML). The example demonstrates tests for fixed effects, estimates of linear functions, and contrasts. The example starts by showing the steps for analyzing the data using PROC IML and then provides the analysis using PROC MIXED. This allows students to follow the process that lead to the output.  Read more... (not yet rated) 0 with reviews - Be the first.

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Genre/Form: Electronic books Print version:Perrett, Jamis J.SAS/IML companion for linear models.New York : Springer, ©2010(OCoLC)462920229 Document, Internet resource Internet Resource, Computer File Jamis J Perrett Find more information about: Jamis J Perrett 9781441955579 1441955577 1441955569 9781441955562 663097012 1 online resource (xiv, 228 pages) : illustrations. SAS/IML: A brief introduction -- IML language structure -- IML programming features -- Matrix manipulations in SAS/IML -- Mathematical and statistical basics -- Linear algebra -- The Multivariate Normal Distribution -- The General Linear Model -- Linear mixed models -- Statistical Computational Methods -- In summary. Statistics and computing. Jamis J. Perrett.

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Linear Models Courses are often presented as either theoretical or applied. This book bridges the gap between the derivation of formulas and analyses that hide these formulas. It includes complete  Read more...

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