Probability Theory and Statistical Inference Vol II

Encyclopaedia of Applied Statistics Using SPSS, STATISTICA and MATLAB Using Spss, Statistica and Matlab covers all the important concepts of probability theory.

Probability theory is the branch of mathematics concerned with probability, the analysis of random phenomena.

The central objects of probability theory are random variables, stochastic processes, and events. Statistical inference is the process of deducing properties of an underlying distribution by analysis of data.

Inferential statistical analysis infers properties about a population: this includes testing hypotheses and deriving estimates. This volume is divided into seven chapters.

1. A Scan Statistic for Binary Outcome Based on Hypergeometric Probability Model, With an Application to Detecting Spatial Clusters of Japanese Encephalitis

2. A Fuzzy Reliability Approach for Structures Based on the Probability Perspective

3. Born Rule and Noncontextual Probability

4. Inferences Under a Class of Finite Mixture Distributions Based on Generalized Order Statistics

5. Comparison of Four Methods for Handing Missing Data in Longitudinal Data Analysis Through a Simulation Study

6. Consolidity Analysis for Fully Fuzzy Functions, Matrices, Probability and Statistics

7. An Old and New Notation for Elementary Probability Theory

Citations, Index