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
В. Я. Дерр
Publisher
Лань
Year
2021
Language
Russian
38
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

Томас Нилд

Mathematical Logic and Algorithm Theory: A Study Guide

Mathematical Logic and Algorithm Theory: A Study Guide

Ю. В. Вайнштейн, Т. Г. Пенькова, В. И. Вайнштейн

Probabilistic Machine Learning. Advanced Topics: Foundations, Inference

Probabilistic Machine Learning. Advanced Topics: Foundations, Inference

Кэвин П. Мэрфи

Mathematical Logic: Textbook for Bachelor's Degree

Mathematical Logic: Textbook for Bachelor's Degree

В.Л. Матросов, М.С. Мирзоев

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

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

Тревор Хасти, Роберт Тибширани, Джером Фридман

Bayesian Models. Bayesian Statistics in the Python Programming Language

Bayesian Models. Bayesian Statistics in the Python Programming Language

Аллен Б. Дауни

Introduction to Mathematical Modeling: A Textbook

Introduction to Mathematical Modeling: A Textbook

В.Н. Ашихмин, М.Б. Гитман, Н.Э. Келлер, О.Б. Наймарк, В.Ю. Столбов, П.В. Трусов, П.Г. Фрик

Probability Theory and Mathematical Statistics. A Guide to Problem Solving

Probability Theory and Mathematical Statistics. A Guide to Problem Solving

В. В. Григорьев-Голубев, Н. В. Васильева, Е. А. Кротов

Mathematical Foundations of Machine Learning and Forecasting

Mathematical Foundations of Machine Learning and Forecasting

В. В. Вьюгин

Pattern recognition and machine learning

Pattern recognition and machine learning

Кристофер М. Бишоп