'Normal plot' diaporamas de présentation

The Examination of Residuals

The Examination of Residuals. where is an observation and is the corresponding fitted value obtained by use of the fitted model. The residuals are defined as the n differences :.

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STATS 330: Lecture 13

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The Assumptions of ANOVA

The Assumptions of ANOVA. Dennis Monday Gary Klein Sunmi Lee May 10, 2005. Major Assumptions of Analysis of Variance . The Assumptions Independence Normally distributed Homogeneity of variances Our Purpose Examine these assumptions Provide various tests for these assumptions Theory

2.86k views • 25 slides

Distribution and Outliers

Distribution and Outliers. Screening. (Significant Effects). Hadlum vs Hadlum. A univariate example that illustrates deviation from a normal pattern. Normal duration. Percentage (n=13634). Duration of Pregnancy. Bannet (1978) Appl. Statist. 27 , 242-250.

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A Step-Down Lenth Method for Analyzing Unreplicated Factorial Designs

A Step-Down Lenth Method for Analyzing Unreplicated Factorial Designs. Kenny Q. Ye, Michael Hamada, C. F. J. Wu Journal of Quality Technology, Apr 2001, Vol. 33, pg. 140, 13 pgs ???????. Outline. 1. Introduction 2. A Step-Down Lenth Method 3. An example

407 views • 21 slides

Lecture 10

Lecture 10. Multiple Linear Regression Ch 11. Objectives. Multiple linear regression model Confidence intervals and significance tests for ? j ANOVA F-test for multiple regression Squared Multiple Correlation Selection of variables. Multiple linear regression model.

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Analysis of Variance

Analysis of Variance. CSLU 2850.Lo1 Spring 2008 Cameron McInally mcinally@fordham.edu Fordham University. May contain work from the Creative Commons. Analysis of Variance. Analysis of Variance

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Stat 321 A Taguchi Case Study

Stat 321 A Taguchi Case Study. Experiments to Minimize Variance. Rubber Tire Study with Inner and Outer Arrays. Include environmental variables as noise factors in the replicates - the outer array Include our usual control factors as the inner array. 8-trial, full factorial.

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Tire Wear Latin Square

Tire Wear Latin Square. Exploratory Design with Orthogonality. Tire Wear Design Layout. Tire Wear ANOVA. Initial Conclusions. Brand does have an effect (tell Marketing if ours is best).

200 views • 10 slides