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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 distribution - Wikipedia, the free encyclopedia 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 ... en.wikipedia.org/wiki/Probability Probability is the measure of the likeliness that an event will occur. Probability is quantified as a number between 0 and 1 (where 0 indicates impossibility and 1 ... dictionary.reference.com/browse/model 1570s, "likeness made to scale; architect's set of designs," from Middle French modelle (16c., Modern French modèle), from Italian modello "a model, mold," from ... online.tarleton.edu/Dual/DualLoginPage.htm Announcements ALL USERS Blackboard Mobile Learn - is a free app for Tarleton State University using an iOS or Android device! Recommended Browser for Blackboard For ... www.gaussianprocess.org Tutorials Several papers provide tutorial material suitable for a first introduction to learning in Gaussian process models. These range from very short [Williams ... PROBABILITY: MODELING AND APPLICATIONS TO RANDOM PROCESSES |
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