민만식, 오용선  | 한티미디어

22,500원  | 20200302  | 9788964213926

근래에는 물리학, 공학 등 자연과학의 특정분야에만 한하지 않고, 인문과학, 사회과학 등의 분야에서도 확률론을 활용하는 추세이다. 확률론에서 가장 중요시하는 부분은 학과에 따라서 다르겠으나, 확률론의 활용을 위하여 기초적인 부분은 거의 같으며, 이 부분을 철저히 학습해 두는 것은 필요하다. 본서는 저자가 수년간 강의한 내용을 중심으로 확률론의 입문서로서 기술한 것이다. 본서의 내용은 여러 대학에서 실행하고 있는 강의내용이 100% 포함되게 엮은 것이다. 본서의 제1장부터 제3장까지는 확률론의 기본적인 부분을 요약한 것으로 통계학을 이해하는 데 기초가 될 것이다. 본 확률론에서는 확률과정을 대단히 쉽게 기술하였으므로, 확률론의 진미를 여기서 느낄 수 있고, 또 흥미를 갖게 될 것이다. 전반적으로 수학적 표현에 중심을 두었으며, 쉽게 이해가 되도록 설명하였다. 또 많은 실생활 예제와 문제를 통하여 이해를 돕도록 하였으며, 이의 해답을 거의 완벽하게 해 두었다. 본서는 대학교양수학의 지식으로 충분히 이해될 수 있게 쉽게 엮기 위해 노력하였으며, 본서를 교과서로 채택하는 경우 주당 3시간 1학기의 강의교재로서 적당할 것이다.

 | John Wiley & Sons Inc

279,820원  | 20191111  | 9781848214026

Utilizing heuristics to present some fundamentals of probability theory, this book discusses the ideas and concepts common to all random problems.

민만식, 정형철  | 한티미디어

22,500원  | 20170220  | 9788964212790

▶ 이 책은 확률론을 다룬 이론서입니다. 확률론의 기초적이고 전반적인 내용을 학습할 수 있습니다.

Marcelo Sampaio De Alencar  | Momentum Press

139,910원  | 20160803  | 9781606507476

Probability Theory is a classic topic in any course of exact sciences, that evolved from the amalgamation of different areas of mathematics, including set and measure theory. An axiomatic treatment of probability is presented in the book. Probability Theory is fundamental to several areas of knowledge, including engineering, computer science, mathematics, physics, sciences, economics, biology, medicine, social sciences and social communication.

 | Springer Nature B.V.

69,980원  | 20130626  | 9781447152026

This self-contained, comprehensive book tackles the principal problems and advanced questions of probability theory and random processes in 22 chapters, presented in a logical order but also suitable for dipping into. They include both classical and more recent results, such as large deviations theory, factorization identities, information theory, stochastic recursive sequences.

Borkar, V. S.  | Springer

96,230원  | 20130412  | 9780387945583

This book is an advanced text on probability theory. By presupposing the background of a standard first course in real analysis and a 'soft' course in probability theory, it gives a compact treatment of several key topics in probability, selected ...

Stroock, Daniel W.  | Cambridge Univ Pr

0원  | 20110310  | 9780521761581

This second edition of Daniel W. Stroock's text is suitable for first-year graduate students with a good grasp of introductory, undergraduate probability theory and a sound grounding in analysis. It is intended to provide readers with an introduction to probability theory and the analytic ideas and tools on which the modern theory relies. It includes more than 750 exercises. Much of the content has undergone significant revision. In particular, the treatment of Levy processes has been rewr...

Daniel W. Stroock  | Cambridge

0원  | 20110101  | 9780521132503

This second edition of Daniel W. Stroock's text is suitable for first-year graduate students with a good grasp of introductory, undergraduate probability theory and a sound grounding in analysis. It is intended to provide readers with an introduction to probability theory and the analytic ideas and tools on which the modern theory relies. It includes more than 750 exercises. Much of the content has undergone significant revision. In particular, the treatment of Levy processes has been rewritten, and a detailed account of Gaussian measures on a Banach space is given. Features - Presents a novel selection and treatment of probability theory - The reader will see how probability theory can be used in other branches of mathematics Reviews '… uniformly well written and well spiced with comments to aid the intuition, so the readership should include a wide range, both of students and of professional probabilists. … We can expect it to take its place alongside the classics of probability theory.'

Stroock  | Cambridge

0원  | 20000201  | 9780521663496

 | Routledge

191,340원  | 20250829  | 9781041076896

First published in 1972, in Descriptive Statistics and Probability Theory the numerical work- the selection of numerical data-is used as a basis for developing the statistical theory.

 | River Publishers

223,250원  | 20231001  | 9788770228473

This book introduces the basic concepts of set theory, measure theory, the axiomatic theory of probability, random variables and multidimensional random variables, functions of random variables, convergence theorems, laws of large numbers, and fundamental inequalities.

 | Mdpi AG

171,880원  | 20231106  | 9783036591926

The present reprint contains all of the articles accepted and published in the Special Issue titled "Limit Theorems of Probability Theory". The papers included in this Special Issue present new directions and advances for limit theorems in probability theory and its applications.

 | Amer Mathematical Society

154,980원  | 19970701  | 9780821806753

Free probability theory is a highly noncommutative probability theory, with independence based on free products instead of tensor products. The theory models random matrices in the large $N$ limit and operator algebra free products. This book contains papers from a workshop on Random Matrices and Operator Algebra Free Products.

Ash, Robert B.  | Dover Publications

35,000원  | 20080829  | 9780486466286

Geared toward advanced undergraduates and graduate students, this introductory text surveys random variables, conditional probability and expectation, characteristic functions, infinite sequences of random variables, Markov chains, and an introduction to statistics. Complete solutions to some of the problems appear at the end of the book. 1970 edition.

 | KS OmniScriptum Publishing

162,750원  | 20210120  | 9786203201390

The textbook presents the basic concepts of events and classification of events (reliable, impossible, equally possible, opposite, common and incompatible), the frequency and probability of events, ways to find numerical values of the probability of the event, the basic probability theorems. Some variants of application of the above theorems in science during tests of aircraft (AC) to hit an object are presented.