Statistical Methods Homework Assignment Help

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The basic topics that are normally considered part of college Statistical Methods that we can help with:

• Asymptotic behaviour of posterior distributions and Bayes estimates
• Asymptotic distribution of functions of sample moments like sample correlation coefficient
• Asymptotic distribution of transformed statistics Derivation of the variance stabilizing formula
• Bahadur's result on asymptotic behaviour of sample quantiles
• Bayes estimates tests Bayesian credible region Non informative priors
• Chi-square and likelihood ratio test statistics for simple hypotheses related to contingency tables
• Convergence of random variables central limit theorems Cramer Wold device Scheffe's theorem Polya's, theorem Slutsky's theorem
• Derivation of the variance stabilizing formula
• Heuristic proof for composite hypothesis with contingency tables as examples
• large sample behaviour of Kolmogorov-Smirnov statistics
• Large sample nonparametric inference
• Large sample properties of maximum likelihood estimates the method of scoring
• Measures of skewness and kurtosis
• Minimal sufficiency completeness Factorization theorem Convex loss Rao Blackwell theorem
• Nonlinear and generalized linear models
• Partial least squares path modeling
• Pearson's chi square statistic Chi square likelihood ratio test statistics for simple hypotheses related
• Pearson's chi-square statistic
• Polya's theorem. Slutsky's theorem.
• Preferably without proof but using heuristic justification based on Laplace approximation
• Response surface methodology
• Review of various modes of convergence of random variables and central limit theorems
• Risk limiting post-election audit
• Sampling Methods and Sampling distributions
• Structural equation modeling
• Structured data analysis (statistics)
• Theory of Probability Distribution
• To contingency tables Heuristic proof for composite hypothesis contingency tables
• Two-way analysis of variance
• Unbiased estimates Cramer Rao inequality Stein estimate shrinkage for multivariate normal mean