机读格式显示(MARC)

• 000 02037cam a2200361 i 4500

• 001 0000709683

• 003 OCoLC

• 005 20181024155700.0

• 008 170331t20182018enka b 001 0 eng

• 010 __ |a 2017014908

• 020 __ |a 9781108418744: |c CNY730.26

• 020 __ |a 1108418740

• 020 __ |a 9781108407847

• 020 __ |a 1108407846

• 020 __ |z 9781108314138 (PDF ebook)

• 035 __ |a (OCoLC)983786116

• 040 __ |a DLC |b eng |e rda |c DLC |d OCLCO |d OCLCF |d YDX |d BTCTA |d YDX |d OCLCO |d CHVBK |d OCLCO |d NZAUC |d EQO

• 050 00 |a QA273.2 |b .T55 2018

• 082 00 |a 519.2 |2 23

• 090 __ |a O211/BT1

• 093 __ |a O211 |2 5

• 100 1_ |a Tijms, H. C., |e author.

• 245 10 |a Probability : |b a lively introduction / |c Henk Tijms.

• 260 __ |a Cambridge : |b Cambridge University Press, |c c2017.

• 300 __ |a x, 535 pages ; |c 23 cm

• 336 __ |a text |b txt |2 rdacontent

• 337 __ |a unmediated |b n |2 rdamedia

• 338 __ |a volume |b nc |2 rdacarrier

• 504 __ |a Includes bibliographical references and index.

• 505 0_ |a Foundations of probability theory -- Conditional probability -- Discrete random variables -- Continuous random variables -- Jointly distributed random variables -- Multivariate normal distribution -- Conditioning by random variables -- Generating functions -- Additional topics in probability -- Discrete-time Markov chains -- Continuous-time Markov chains.

• 520 __ |a Probability has applications in many areas of modern science, not to mention in our daily life. Its importance as a mathematical discipline cannot be overrated, and it is a fascinating and surprising topic in its own right . This engaging textbook with its easy-to-follow writing style provides a comprehensive, yet concise introduction to the subject. It covers all of the standard material for undergraduate and first-year-graduate-level courses as well as many topics that are usually not found in standard text - such as Bayesian inference, Markov chain Monte Carlo simulation, and Chernoff bounds.

• 650 _0 |a Probabilities |v Textbooks.

• 920 __ |a 233030 |z 1