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Unformatted text preview: Applied Nonparametrics STA 4502/5507 Yiyuan She Department of Statistics, Florida State University Fall 2009 Project due: Friday, December 4 2009 by 4pm 512 pages a copy of the complete journal article from which you obtained the data Final Wednesday, December 9, 12:30  2:30 pm in HCB 0207 Closed book, calculator permitted You may bring TWO pages (lettersize) of notes which must be handwritten. (You do not have to prepare the tables.) Course Flow Estimating success probabilities Single location: estimates, tests, intervals Two locations: testing, estimating differences between locations Scale comparisons Multiple locations and factors Independence ‘Nonparametric regression’: Theil’s test Nonparametric regression: kernels, splines Fundamental Statistics Some basic concepts: TypeI error, TypeII error, Power; point estimate, confidence interval Critical value method for hypothesis testing (use the quantile function in R ) pvalue: smallest significance level at which we would reject the null based on the given data (use the distribution function in R ) pvalue methods is more informative (why?) Binomial Test X 1 , X 2 , ··· , X n i . i . d . ∼ Bernoulli( p ) Test statistic: B = ∑ X i Exact Binomial Test: B ∼ Bin ( n , p ) Large Sample Test: standardization, CLT Estimation: point, confidence interval Wilcoxon Signed Rank Test...
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 Fall '09
 Frade
 Statistics, NJ, Nonparametric statistics, large sample approximation

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