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Summary Mathematical Statistics 214
A comprehensive summary of all the theory (theorems, proofs and explanations) of the Mathematical Statistics 214 module. This includes topics, such as location, spread, kurtosis, continuous random variables, distributions (incl. expected values, variance, mgf), Chebyshev, multivariate probability distributions, functions of random variables, hypothesis testing, p-values, confidence intervals, transformations, sampling distributions, inference, estimation and CLT. 
A brief summary of vital formul...
- Class notes
- • 127 pages •
A comprehensive summary of all the theory (theorems, proofs and explanations) of the Mathematical Statistics 214 module. This includes topics, such as location, spread, kurtosis, continuous random variables, distributions (incl. expected values, variance, mgf), Chebyshev, multivariate probability distributions, functions of random variables, hypothesis testing, p-values, confidence intervals, transformations, sampling distributions, inference, estimation and CLT. 
A brief summary of vital formul...
Mathematical Statistics 245 Summaries and Examples Bundle
A combination of comprehensive summaries and examples of point estimators, order statistics, relative efficiency, method of moment estimators, method of maximum likelihood estimators, Neyman-Pearson Lemma, likelihood ratio test, Bayesian statistics (conjugate priors, noninformative priors, credibility
- Package deal
- • 2 items •
A combination of comprehensive summaries and examples of point estimators, order statistics, relative efficiency, method of moment estimators, method of maximum likelihood estimators, Neyman-Pearson Lemma, likelihood ratio test, Bayesian statistics (conjugate priors, noninformative priors, credibility
Summary and Examples Mathematical Statistics with Applications, ISBN: 9781111798789 Mathematical Statistics 245 (MS245)
This document contains a brief summary and many examples of point estimators, order statistics, relative efficiency, method of moment estimators, method of maximum likelihood estimators, Neyman-Pearson Lemma, likelihood ratio test, Bayesian statistics (conjugate priors, noninformative priors, credibility intervals, squared error loss functions, absolute error loss functions, etc.).
- Book & Paket-Deal
- Summary
- • 64 pages •
This document contains a brief summary and many examples of point estimators, order statistics, relative efficiency, method of moment estimators, method of maximum likelihood estimators, Neyman-Pearson Lemma, likelihood ratio test, Bayesian statistics (conjugate priors, noninformative priors, credibility intervals, squared error loss functions, absolute error loss functions, etc.).
Summary Mathematical Statistics with Applications, ISBN: 9781111798789 Mathematical Statistics 245 (MS245)
This document contains comprehensive summaries of point estimators, order statistics, relative efficiency, method of moment estimators, method of maximum likelihood estimators, Neyman-Pearson Lemma, likelihood ratio test, Bayesian statistics (conjugate priors, noninformative priors, credibility intervals, squared error loss functions, absolute error loss functions, etc.). This document also contains a brief summary of general hypothesis tests and p-values.
- Book & Paket-Deal
- Summary
- • 51 pages •
This document contains comprehensive summaries of point estimators, order statistics, relative efficiency, method of moment estimators, method of maximum likelihood estimators, Neyman-Pearson Lemma, likelihood ratio test, Bayesian statistics (conjugate priors, noninformative priors, credibility intervals, squared error loss functions, absolute error loss functions, etc.). This document also contains a brief summary of general hypothesis tests and p-values.
Linear Algebra University Level (Mathematics 244- second year)
These comprehensive linear algebra summaries contain all the necessary theorems, definitions, proofs, as well as steps to solve certain problems. The topics covered (second year university-level) are Cross Product, Eigenvalues and Eigenvectors, Diagonalization, Differential Equations, Inner Product, Orthogonality in Inner Product Spaces, Gram-Schmidt Process, Orthogonal Matrices, Orthogonal Diagonalization, Quadratic forms, Optimization, Rank and Nullity and Basic Transformations.
- Book
- Summary
- • 56 pages •
These comprehensive linear algebra summaries contain all the necessary theorems, definitions, proofs, as well as steps to solve certain problems. The topics covered (second year university-level) are Cross Product, Eigenvalues and Eigenvectors, Diagonalization, Differential Equations, Inner Product, Orthogonality in Inner Product Spaces, Gram-Schmidt Process, Orthogonal Matrices, Orthogonal Diagonalization, Quadratic forms, Optimization, Rank and Nullity and Basic Transformations.
Summary Accounting Grade 11 Afrikaans
This comprehensive Accounting grade 11 summary contains all the necessary information to achieve success in this subject. I achieved 97% in my final exam by using these notes.
- Summary
- • 39 pages •
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11 • Accounting
This comprehensive Accounting grade 11 summary contains all the necessary information to achieve success in this subject. I achieved 97% in my final exam by using these notes.