'Test statistics' diaporamas de présentation

The Problem of Detecting Differentially Expressed Genes

The Problem of Detecting Differentially Expressed Genes. Sample 1. Sample 2. Sample M. Gene 1. Gene 2. . . . . . . . . Gene N. Sample 1. Sample 2. Sample M. Gene 1. Gene 2. . . . . . . . . Gene N. Class 2. Class 1. Fold Change is the Simplest Method

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Pereira (2000)

Pereira (2000) Motivation Experimental Design Performance Evaluation Experimental Results Structured Investments Group County Investment Management Level 19, 255 George Street Sydney NSW 2000 Motivation

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Multiple Linear Regression, General Linear Model, & Generalized Linear Model

Multiple Linear Regression, General Linear Model, & Generalized Linear Model. With Thanks to My Students in AMS 572: Data Analysis. Outline. 1. Introduction to Multiple Linear Regression 2. Statistical Inference 3. Topics in Regression Modeling 4. Example 5. Variable Selection Methods

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Lecture 9: p-value functions and intro to Bayesian thinking

Lecture 9: p-value functions and intro to Bayesian thinking. Matthew Fox Advanced Epidemiology. If you are a hypothesis tester, which pvalue is more likely to avoid a type I error. P = 0.049 P = 0.005. What is the p-value fallacy?.

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Comparison of two samples

Comparison of two samples. Summer program Brian Healy. Previous classes. Hypothesis testing Null and Alternative hypotheses Test statistic p-value Conclusion Confidence intervals Comparison of CI to hypothesis test Power and sample size. What are we doing today?. Two-sample t-test

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Educational Research

Educational Research. Chapter 12 Inferential Statistics Gay, Mills, and Airasian. Topics Discussed in this Chapter. Concepts underlying inferential statistics Types of inferential statistics Parametric T tests ANOVA One-way Factorial Post-hoc comparisons Multiple regression ANCOVA

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Methodological summary of flood frequency analysis

568 views • 33 slides

Seminar, Bordeaux School of Public Health 8 June 2011 Combining endpoints in clinical trials to increase power John Whit

Medical and Pharmaceutical Statistics Research Unit. Seminar, Bordeaux School of Public Health 8 June 2011 Combining endpoints in clinical trials to increase power John Whitehead. Medical and Pharmaceutical Statistics Research Unit Department of Mathematics and Statistics

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Comparing two sample means

Comparing two sample means. Dr David Field. Comparing two samples. Researchers often begin with a hypothesis that two sample means will be different from each other In practice, two sample means will almost always be slightly different from each other

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M ARIO F . T RIOLA

S TATISTICS. E LEMENTARY. Chapter 7 Hypothesis Testing . M ARIO F . T RIOLA. E IGHTH. E DITION. 7-2 Fundamentals of Hypothesis Testing 7-3 Testing a Claim about a Mean: Large Samples 7-4 Testing a Claim about a Mean: Small Samples

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DIRECTIONAL HYPOTHESIS

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Exploring Dual Long Memory in Returns and Volatility across the Central and Eastern European stock markets

Academy of Economic Studies Doctoral School of Finance and Banking- DOFIN. Exploring Dual Long Memory in Returns and Volatility across the Central and Eastern European stock markets . Msc. Student: Mihaela Sandu Supervisor: PhD.Professor Mois ? Alt ? r. Bucharest, July 2009.

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Statistical Tests of Returns to Scale Using DEA

Statistical Tests of Returns to Scale Using DEA. Rajiv D. Banker Hsihui Chang Shih-Chi Chang. Introduction. Simar and Wilson (2002) conduct simulations to evaluate non-parametric tests of returns to scale in DEA Bootstrap-based tests Binomial tests DEA-based tests

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Multiple Regression

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12.3 Correcting for Serial Correlation w/ Strictly Exogenous Regressors

12.3 Correcting for Serial Correlation w/ Strictly Exogenous Regressors. The following autocorrelation correction requires all our regressors to be strictly exogenous -in particular, we should have no lagged explanatory variables Assume that our error terms follow AR(1) SERIAL CORRELATION :.

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SOC 3811 Basic Social Statistics

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STATISTICAL ANALYSIS.

STATISTICAL ANALYSIS. Your introduction to statistics should not be like drinking water from a fire hose!!. Nature of the Data Two main types: categorical or continuous 1. Categorical: Nominal (unordered, unequal categories) E.g.: Female=1 and male=2

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9B: Comparing two proportions

9B: Comparing two proportions. Proportions from two groups.

166 views • 4 slides