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詳細資料ISBN：0471458929 叢書系列：大學共同 規格：精裝 / 459頁 / 普通級/ 單色印刷 / 初版 出版地：台灣 內容簡介 THIS BOOK TAKES AN INNOVATIVE APPROACH TO CALCULUS-BASED PROBABILITY THEORY, CONSIDERING IT WITHIN A FRAMEWORK FOR CREATING MODELS OF RANDOM PHENOMENA. THE AUTHOR FOCUSES ON THE SYNTHESIS OF STOCHASTIC MODELS CONCURRENT WITH THE DEVELOPMENT OF DISTRIBUTION THEORY WHILE ALSO INTRODUCING THE READER TO BASIC STATISTICAL INFERENCE. IN THIS WAY, THE MAJOR STOCHASTIC PROCESSES ARE BLENDED WITH COVERAGE OF PROBABILITY LAWS, RANDOM VARIABLES, AND DISTRIBUTION THEORY, EQUIPPING THE READER TO BE A TRUE PROBLEM SOLVER AND CRITICAL THINKER. |
| 搜尋參考資料: 1.Probability - Wikipedia, the free encyclopedia en.wikipedia.org/wiki/Probability The scientific study of probability is a modern development. Gambling shows that there has been an interest in quantifying the ideas of probability for millennia, but exact … en.wikipedia.org/wiki/Probability_distribution A discrete probability distribution is a probability distribution characterized by a probability mass function. Thus, the distribution of a random variable X is discrete, … www.sciencedirect.com/science/journal/01677152 Statistics & Probability Letters Volume 104, In Progress Volume / Issue In ProgressA Volume/Issue that is "In Progress" contains final, fully citable articles that are … home.ubalt.edu/ntsbarsh/simulation/sim.htm Introduction & Summary Computer system users, administrators, and designers usually have a goal of highest performance at lowest cost. Modeling and simulation of … ejp.ejpecp.org The Electronic Journal of Probability (EJP) publishes full-length research articles in probability theory. Short papers, those less than 12 pages, should be submitted first … PROBABILITY: MODELING AND APPLICATIONS TO RANDOM PROCESSES |
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