Statistical Inference Homework Help

Statistical Inference Homework Help

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Following is the list of comprehensive topics in which we offer Homework Help, Assignment Help, Exam Preparation Help and Online Tutoring:

  • Statistical tests of Hypotheses
  • Null and Alternative hypotheses
  • Types of Errors
  • Critical Region
  • Level of Significance
  • Power and p-values
  • Equality of two means
  • A single variance and the equality of two variances
  • Test of Significance of sample correlation coefficient (null case)
  • Interval Estimation
  • Confidence Interval and Confidence Coefficient
  • Exact confidence interval under Normal set-up for a single mean
  • Single variance
  • Large Sample Tests
  • Pearsonian x2 tests
  • Homogeneity and independence in a contingency table
  • Viewed on unbiasedness
  • Neyman factorization theorem
  • Minimal sufficient statistics
  • Maximum likelihood method
  • Method of moments
  • Minimum chi square method
  • Minimum variance unbiased estimators
  • Rao- blackwell theorem
  • Completeness
  • lehman – scheffe’s necessary and sufficient condition for mbue
  • Cramer – rao lower bound approach
  • Bhattacharya’s system of lower bounds for a single parameter.
  • One sample u statistics
  • Two sample u statistics
  • Asymptotic distributions of u statistics
  • Umvue
  • U statistics
  • Rank test
  • Locally most powerful rank test
  • Linear rank statistics
  • One sample location problem
  • Sign test
  • Signed rank test
  • Two sample kolmogorov – smirnov tests
  • Two sample location and scale problems
  • Wilcoxon – mann – whitney tests. Krusal – wallis k sample tests
  • Parametric models
  • Point estimation
  • Tests of hypotheses and interval estimation
  • Likelihood Function
  • Plotting likelihood functions
  • Sufficiency
  • Neymanfactorizability criterion
  • Likelihood equivalence
  • Minimal sufficient statistic
  • Exponential families and Pitman families
  • Invariance property of sufficiency under one-one transformation of sample space and parameter space
  • Fisher information for one and several parameters models
  • Maximum likelihood method
  • Methods of moments choice of estimators based on unbiasedness,
  • Minimum variance
  • Mean squared error
  • Minimum variance unbiased estimators
  • Rao-Blackwell theorem
  • Completeness
  • Lehmann-Scheffe theorem
  • Necessary and sufficient conditions for MVUE, Cramer – Rao lower bound approach
  • Tests of Hypotheses
  • Concepts of critical regions
  • Test functions
  • Two kinds of errors
  • Size function
  • Power function
  • Level
  • MP and UMP test
  • Wald’s SPRT with prescribed errors of two types
  • Neyman-Pearson Lemma
  • MP test for simple null against simple alternative hypothesis
  • UMP tests for simple null hypothesis against one-sided alternatives and for sided null
  • Confidence level
  • Construction of confidence intervals using pivots
  • Shortest expected length confidence interval

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