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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.
Author(s): Niels Richard Hansen
294 Pages
Lecture Notes Probability Theory
This book explains the following topics: Probability spaces, Random variables, Independence, Expectation, Convergence of sequences of random variables.
Author(s): Manuel Cabral Morais
275 Pages
Probability and Stochastic Processes
This book covers the following topics: Basic Concepts of Probability Theory, Random Variables, Multiple Random Variables, Vector Random Variables, Sums of Random Variables and Long-Term Averages, Random Processes, Analysis and Processing of Random Signals, Markov Chains, Introduction to Queueing Theory and Elements of a Queueing System.
Author(s): Dongyu Qiu
NA Pages
This note covers the following topics related to Probability: Laws Of Probability, Methodology, Expectation, Decision, Probabilism and Induction.
Author(s): Richard Jeffrey
NA Pages
This note covers the following topics related to Probability: Kolmogorov’s axiomatization, Frequentism, Classical interpretation, Logical probability and Subjectivism.
Author(s): Branden Fitelson, Alan Hajek, and Ned Hall
30 Pages
Probability and Stochastic Processes with Applications
This text assumes no prerequisites in probability, a basic exposure to calculus and linear algebra is necessary. Some real analysis as well as some background in topology and functional analysis can be helpful. This note covers the following topics: Limit theorems, Probability spaces, random variables, independence, Markov operators, Discrete Stochastic Processes, Continuous Stochastic Processes, Random Jacobi matrices, Symmetric Diophantine Equations and Vlasov dynamics.
Author(s): Oliver Knill
382 Pages
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): E. T. Jaynes
95 Pages
Introduction to Probability clark edu
This note provides an introduction to probability theory and mathematical statistics that emphasizes the probabilistic foundations required to understand probability models and statistical methods. Topics covered includes the probability axioms, basic combinatorics, discrete and continuous random variables, probability distributions, mathematical expectation, common families of probability distributions and the central limit theorem.
Author(s): Prof. D. Joyce
NA Pages
Grinstead and Snells Introduction to Probability
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Author(s): NA
NA Pages
A quick refresher for Counting techniques and Probability
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Author(s): NA
NA Pages
Introduction to probability and random processes
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NA Pages
Introduction to Probability pdf
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NA Pages
Lectures on Stochastic Analysis
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NA Pages
Markov Chains and Stochastic Stability
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NA Pages
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Author(s): NA
NA Pages
Probability Lecture Notes (Santos D pdf)
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