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
- Bootstrap error-adjusted single-sample technique
- 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