Statistical Assumptions

Introduction to Statistical Inference - Harvard University

Statistical methods are no substitute for a good design Data analysis = statistical theory (objective) + judgement calls (subjective) Justifying your choices and increasing credibility Understanding and evaluating the assumptions of statistical methods Kosuke Imai (Princeton) Introduction to Statistical Inference January 31, 2010 3 / 21

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Mathematical Statistics, Lecture 2 Statistical Models

Assumptions about the distribution of E over the cases (2) Specify/define a criterion for judging different estimators. (3) Characterize the best estimator and apply it to the given data. (4) Check the assumptions in (1). (5) If necessary modify model and/or assumptions and go to (1). íõ. MIT 18.655 Statistical Models

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The Assumption(s) of Normality - University of Iowa

This is why these statistical procedures are called . By definition,parametricparametric stats are those that make assumptions about the shape of the sampling distribution of the value of interest (i.e., they make assumptions about the skew and kurtosis parameters, among other things; hence the name).

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Chapter 440 Discriminant Analysis - Statistical Software

Discriminant analysis does not make the strong normality assumptions that MANOVA does because the emphasis is on classification. A sample size of at least twenty observ ations in the smallest group is usually adequate to ensure robustness of …

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OLS in Matrix Form - Stanford University

OLS in Matrix Form 1 The True Model † Let X be an n £ k matrix where we have observations on k independent variables for n observations. Since our model will usually contain a constant term, one of the columns in the X matrix will contain only ones. This column should be treated exactly the same as any