Mathematics Books Probability Theory Books

Probability Theory The Logic of Science

Probability Theory The Logic of Science

Probability Theory The Logic of Science

This book is addressed to readers who are already familiar with applied mathematics at the advanced undergraduate level or preferably higher. Topics covered includes: Plausible Reasoning, Quantitative Rules, Elementary Sampling Theory, Elementary Hypothesis Testing, Queer Uses For Probability Theory, Elementary Parameter Estimation, Central, Gaussian Or Normal Distribution.

Author(s):

s95 Pages
Similar Books
Probability Theory 1 Lecture Notes

Probability Theory 1 Lecture Notes

The contents include: Introduction, Preliminary Results, Distributions, Random Variables, Expectation, Independence, Weak Law of Large Numbers, Borel-Cantelli Lemmas, Strong Law of Large Numbers, Random Series, Weak Convergence, Characteristic Functions, Central Limit Theorems, Poisson Convergence, Stein's Method, Random Walk Preliminaries, Stopping Times, Recurrence, Path Properties, Law of The Iterated Logarithm.

s123 Pages
Lecture Notes for Introductory Probability

Lecture Notes for Introductory Probability

The contents include: Combinatorics, Axioms of Probability, Conditional Probability and Independence, Discrete Random Variables, Continuous Random Variables, Joint Distributions and Independence, More on Expectation and Limit Theorems, Convergence in probability, Moment generating functions, Computing probabilities and expectations by conditioning, Markov Chains: Introduction, Markov Chains: Classification of States, Branching processes, Markov Chains: Limiting Probabilities, Markov Chains: Reversibility, Three Application, Poisson Process.

s218 Pages
Probability Theory and Statistics Lecture notes

Probability Theory and Statistics Lecture notes

The aim of the notes is to combine the mathematical and theoretical underpinning of statistics and statistical data analysis with computational methodology and practical applications. Topics covered includes: Notion of probabilities, Probability Theory, Statistical models and inference, Mean and Variance, Sets, Combinatorics, Limits and infinite sums, Integration.

s294 Pages
Introduction to Probability Theory and Statistics

Introduction to Probability Theory and Statistics

This note covers the following topics: Probability, Random variables, Random Vectors, Expected Values, The precision of the arithmetic mean, Introduction to Statistical Hypothesis Testing, Introduction to Classic Statistical Tests, Intro to Experimental Design, Experiments with 2 groups, Factorial Experiments, Confidence Intervals.

s127 Pages
Notes on Probability Theory and Statistics

Notes on Probability Theory and Statistics

This note explains the following topics: Probability Theory, Random Variables, Distribution Functions, And Densities, Expectations And Moments Of Random Variables, Parametric Univariate Distributions, Sampling Theory, Point And Interval Estimation, Hypothesis Testing, Statistical Inference, Asymptotic Theory, Likelihood Function, Neyman or Ratio of the Likelihoods Tests.

s138 Pages
Probability papers

Probability papers

This note covers the following topics related to Probability: Kolmogorov’s axiomatization, Frequentism, Classical interpretation, Logical probability and Subjectivism.

s30 Pages
Lecture Notes on Probability Theory and Random Processes

Lecture Notes on Probability Theory and Random Processes

The goal to to help the student figure out the meaning of various concepts in Probability Theory and to illustrate them with examples. Topics covered includes: Modelling Uncertainty, Probability Space, Conditional Probability and Independence, Random Variable, Conditional Expectation, Gaussian Random Variables, Limits of Random Variables, Filtering Noise and Markov Chains

s302 Pages
A Compendium of Common Probability Distributions

A Compendium of Common Probability Distributions

This document describes the distributions available in Regress+ (v2.7).This Compendium supplies the formulas and parametrization as utilized in the software plus additional formulas, notes, etc.

s136 Pages
Grinstead and Snells Introduction to Probability

Grinstead and Snells Introduction to Probability

Currently this section contains no detailed description for the page, will update this page soon.

sNA Pages
A quick refresher for Counting techniques and Probability

A quick refresher for Counting techniques and Probability

Currently this section contains no detailed description for the page, will update this page soon.

sNA Pages
MEASURE INTEGRATION PROBABILITY

MEASURE INTEGRATION PROBABILITY

Currently this section contains no detailed description for the page, will update this page soon.

sNA Pages
The Four Color Theorem

The Four Color Theorem

Currently this section contains no detailed description for the page, will update this page soon.

sNA Pages
Lectures on Stochastic Analysis

Lectures on Stochastic Analysis

Currently this section contains no detailed description for the page, will update this page soon.

sNA Pages
Markov Chains and Stochastic Stability

Markov Chains and Stochastic Stability

Currently this section contains no detailed description for the page, will update this page soon.

sNA Pages
Stochastic Analysis Notes

Stochastic Analysis Notes

Currently this section contains no detailed description for the page, will update this page soon.

sNA Pages
Lecture Notes on Probability Theory (Mrters P ps)

Lecture Notes on Probability Theory (Mrters P ps)

Currently this section contains no detailed description for the page, will update this page soon.

sNA Pages

Advertisement