Mathematical Statistics, Lecture 2 Statistical Models

← Back to document page

Statistical Models Statistical Models MIT Dr. Kempthorne Spring 2016 1MIT Statistical Models Statistical Models Definitions Examples Modeling Issues Regression Models time Series Models Outline 1 Statistical Models Definitions Examples Modeling Issues Regression Models time Series Models 2MIT Statistical Models Statistical Models Definitions Examples Modeling Issues Regression Models time Series Models Statistical Models : Definitions Def: Statistical Model Random experiment with sample space . Random vector X = (X1, X2,..., Xn) defined on . : outcome of experiment X ( ): data observations probability distribution of X X : Sample Space = {outcomes x}FX : sigma-field of measurable events P( ) defined on (X , FX ) Statistical Model P = {family of distributions } 3MIT Statistical Models Statistical Models Definitions Examples Modeling Issues Regression Models time Series Model

Time Series Models Statistical Models: Examples Example 1.1.3 Two-Sample Model. X 1, X 2 ... Varying complexity of equivalent parametrizations Possible Non-Identifiability of parameters ... a parameter specifying a probability distribution P.

  Time, Distribution, Statistics, Probability, Mathematical, Mathematical statistics, Probability distributions, Varying