Probability Theory and Mathematical Statistics: A Study Guide
A

Probability Theory and Mathematical Statistics: A Study Guide

Mathematics
probability theory mathematical statistics textbook measure theory applied problems university course exercises
Author
V. Ya. Derr
Publisher
Lamb
Year
2021
Language
Russian
254
Rate this book

To read the book, log in / register

Preview fragment

Similar books

Mathematics for Data Science. Managing Data with Linear Algebra, Probability Theory, and Statistics

Mathematics for Data Science. Managing Data with Linear Algebra, Probability Theory, and Statistics

Thomas Nield

Mathematical Logic and Algorithm Theory: A Study Guide

Mathematical Logic and Algorithm Theory: A Study Guide

Yu. V. Vainshtein, T. G. Penkova, V. I. Vainshtein

Probabilistic Machine Learning. Advanced Topics: Foundations, Inference

Probabilistic Machine Learning. Advanced Topics: Foundations, Inference

Kevin P. Murphy

Mathematical Logic: Textbook for Bachelor's Degree

Mathematical Logic: Textbook for Bachelor's Degree

V.L. Matrosov, M.S. Mirzoev

The Elements of Statistical Learning: Data Mining, Inference, and Prediction

The Elements of Statistical Learning: Data Mining, Inference, and Prediction

Trevor Hastie, Robert Tibshirani, Jerome Friedman

Bayesian Models. Bayesian Statistics in the Python Programming Language

Bayesian Models. Bayesian Statistics in the Python Programming Language

Allen B. Downey

Introduction to Mathematical Modeling: A Textbook

Introduction to Mathematical Modeling: A Textbook

V.N. Ashikhmin, M.B. Gitman, N.E. Keller, O.B. Naimark, V.Yu. Stolbov, P.V. Trusov, P.G. Frik

Probability Theory and Mathematical Statistics. A Guide to Problem Solving

Probability Theory and Mathematical Statistics. A Guide to Problem Solving

V. V. Grigoryev-Golubev, N. V. Vasilyeva, E. A. Krotov

Mathematical Foundations of Machine Learning and Forecasting

Mathematical Foundations of Machine Learning and Forecasting

V. V. Vyugin

Pattern recognition and machine learning

Pattern recognition and machine learning

Christopher M. Bishop