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Highly Qualified Statistics Tutor Required

Hi there, I am a student at the University of Melbourne. Pursuing a Master of Data Science. I need to hire a tutor from the preferably the same field or have a qualification in statistics (PhD preferred). I just need tuition for 3 hours and you will be paid really generously. Further details can be discussed in the chat section. Keep in mind highly qualified and must have knowledge of these domains. Cheers!

Module1: Introduction

Module2: Linear Algebra

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Module2: Linear Algebra

Module3: Random Vectors

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Module3: Random Vectors

Module4.1: Full Rank Linear Models

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Module4.1: Full Rank Linear Models

Module4.2: Full Rank Linear Models

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Module4.2: Full Rank Linear Models

Module4.3: Full Rank Linear Models

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Module4.3: Full Rank Linear Models

Module4.4: Full Rank Linear Models

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Module4.4: Full Rank Linear Models

Module4.5: Full Rank Linear Models

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Module4.5: Full Rank Linear Models

Module4.6: Full Rank Linear Models

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Module4.6: Full Rank Linear Models

Module5.1: Hypothesis Testing

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Module5.1: Hypothesis Testing

Module5.2: Hypothesis Testing

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Module5.2: Hypothesis Testing

Module5.3: Hypothesis Testing

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Module5.3: Hypothesis Testing

Module5.4: Hypothesis Testing

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Module5.4: Hypothesis Testing

Module5.5: Hypothesis Testing

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Module5.5: Hypothesis Testing

Module5.6: Hypothesis Testing

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Module5.6: Hypothesis Testing

Module 6.1: One Way Classification, Reparameterization

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Module 6.1: One Way Classification, Reparameterization

Module 6.2: Estimability, Testability, Two factor

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Module 6.2: Estimability, Testability, Two factor

Module6.3: Interaction, ANCOVA

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Module6.3: Interaction, ANCOVA

Module6.4: Causality, Design Principles, CRD

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Module6.4: Causality, Design Principles, CRD

Module7.1: Binomial Regression

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Module7.1: Binomial Regression

Module7.2: Maximum Likelihood

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Module7.2: Maximum Likelihood

Module7.3 Inference, Likelihood Ratio Test

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Module7.3 Inference, Likelihood Ratio Test

Module8.1: Exponential family, GLM

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Module8.1: Exponential family, GLM

Module8.2: Weighted Least Squares

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Module8.2: Weighted Least Squares

Module8.3: Inference in GLM

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Module8.3: Inference in GLM

Module8.4: GLM Diagnostics

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Module8.4: GLM Diagnostics

Module9.1: Multinomial and Ordinal Data

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Module9.1: Multinomial and Ordinal Data

Module9.2: Contingency Table

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Module9.2: Contingency Table

Module10.1: Inversion sampling

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Module10.1: Inversion sampling

Module10.2: Rejection Sampling

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Module10.2: Rejection Sampling

Module10.3: MCMC

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Module10.3: MCMC

Module10.4: Gibbs [login to view URL]

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Module10.4: Gibbs [login to view URL]

Module11.1-2: Intro to Bayesian Inference, Conjugate prior

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Module11.1-2: Intro to Bayesian Inference, Conjugate prior

Module11.3: Approximate inference using MCMC

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Module11.3: Approximate inference using MCMC

Module12.1: PCA

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Module12.1: PCA

Module12.2: K-mean clustering

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Module12.2: K-mean clustering

Taidot: Tilastotiede, Matematiikka, Tilastoanalyysi, Matlab ja Mathematica, Statistical Modeling

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( 0 arvostelua ) Carlton, Australia

Projektin tunnus: #27921897

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