Popular Mechanics Complete Home How-to
Popular Mechanics Complete Home How-to

Author: Albert Jackson

Publisher: Sterling Publishing Company, Inc.

Published: 2009

Total Pages: 536

ISBN-13: 9781588168030

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From Popular Mechanics (9.6 million readers every month), the hands-down experts on the subject of how things work, comes the most complete and up-to-date DIY guide ever published. This highly sophisticated household manual will instantly become the gold standard for anybody who fixes anything. Filled with color photos, drawings, and diagrams, this encyclopedic how-to covers every area of concern to house and apartment owners, with information on planning ahead; decorating; repairs and improvements; security; infestation, rot, and d& electricity; plumbing; heating; outdoor care; and tools and skills. And it’s easy to find the solution to the particular problem that concerns you, without having to go from page to page of continuous text: the straightforward design breaks down the subjects into clearly defined, color-coded chapters. So whether you’re looking for advice on applying finishes, adding decorative paint effects, constructing walls, fixing the roof, or installing a burglar alarm, the instructions are here. • National Publicity • Cross Marketing on the Website, PM zone • Featured in PM’s “Great Stuff Column” • Featured in PM E-Newsletter (125,000 subscribers) • Included in PM “Wish List for Guys” Gift Registry • Advertising in PM Magazine

SAS System for Regression
SAS System for Regression

Author: Rudolf Freund

Publisher: John Wiley & Sons

Published: 2000-12-29

Total Pages: 258

ISBN-13: 0471416649

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SAS® System for Regression Learn to perform a wide variety of regression analyses using SAS® software with this example-driven revised favorite from SAS Publishing. With this Third Edition you will learn the basics of performing regression analyses using a wide variety of models including nonlinear models. Other topics covered include performing linear regression analyses using PROC REG diagnosing and providing remedies for data problems, including outliers and multicollinearity. Examples feature numerous SAS procedures including REG, PLOT, GPLOT, NLIN, RSREG, AUTOREG, PRINCOMP, and others. A helpful discussion of theory is supplied where necessary. Some knowledge of both regression and the SAS System are assumed. New for this edition The Third Edition includes revisions, updated material, and new material. You’ll find new information on using SAS/INSIGHT® software regression with a binary response with emphasis on PROC LOGISTIC nonparametric regression (smoothing) using moving averages and PROC LOESS. Additionally, updated material throughout the book includes high-resolution PROC REG graphics output, using the OUTEST option to produce a data set, and using PROC SCORE to predict another data set.