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Probability theory and mathematical statistics

2019
The textbook is written in accordance with the standard program of the course "Probability theory and mathematical statistics". A systematic presentation of the main sections of the elementary course of probability theory and mathematical statistics on random events, one-dimensional and two-dimensional random variables and the laws of their ...
Alevtina Yurchenko, Efim Kogan
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Probability theory and mathematical statistics

2023
The textbook is an introductory course in probability theory and mathematical statistics. Elements of combinatorics, basic concepts and theorems of probability theory, discrete random variables, continuous random variables, some limit theorems, one-dimensional and two-dimensional samples, point and interval estimation of the parameters of the general ...
Irina Paliy   +2 more
openaire   +1 more source

Probability theory and mathematical statistics

2021
The tutorial is an introductory course in probability theory and mathematical statistics. Elements of combinatorics, basic concepts and theorems of probability theory, discrete random variables, continuous random variables, some limit theorems, one-dimensional and two-dimensional samples, point and interval estimation of parameters of the general ...
openaire   +1 more source

STATISTICS AND PROBABILITY MATHEMATICS PORTFOLIO

2022
Authors : Ishita Sharma; Dr.
openaire   +1 more source

Probability and Mathematical Statistics

Technometrics, 1977
Bruce L. Bowerman, Lester D. Taylor
openaire   +2 more sources

Introduction to Probability and Mathematical Statistics.

Biometrics, 1993
Probability Random Variables and Their Distributions Special Probability Distributions Joint Distributions Properties of Random Variables Functions of Random Variables Limiting Distributions Statistics and Sampling Distributions Point Estimation Sufficiency and Completeness Interval Estimation Test of Hypotheses Contingency Tables and Goodness-of-Fit ...
L. J. Bain, M. Engelhardt
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Mathematical probability and statistical inference

1994
Summary: The paper gives some personal recollections of the development of mathematical probability theory and its applications to statistical inference during the twenty years between the two world wars, preceded and followed by some brief notes on the development before 1920 and after 1940.
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Probability theory and mathematical statistics

1979
Many processes in nature, in engineering, in economy, and in other domains are subject to chance, that is, the outcome of the process cannot be predicted. However, it turns out that even for such processes quantitative statements can be made when sufficiently many of them have been observed under equal conditions.
I. N. Bronshtein, K. A. Semendyayev
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Probability Theory and Mathematical Statistics

Journal of the American Statistical Association, 1999
Andrew Rosalsky   +2 more
  +4 more sources

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