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標題: Titlebook: Basic Probability Theory with Applications; Mario Lefebvre Textbook 2009 Springer-Verlag New York 2009 Probability theory.Random variable. [打印本頁]

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書目名稱Basic Probability Theory with Applications影響因子(影響力)




書目名稱Basic Probability Theory with Applications影響因子(影響力)學科排名




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書目名稱Basic Probability Theory with Applications網(wǎng)絡(luò)公開度學科排名




書目名稱Basic Probability Theory with Applications被引頻次




書目名稱Basic Probability Theory with Applications被引頻次學科排名




書目名稱Basic Probability Theory with Applications年度引用




書目名稱Basic Probability Theory with Applications年度引用學科排名




書目名稱Basic Probability Theory with Applications讀者反饋




書目名稱Basic Probability Theory with Applications讀者反饋學科排名





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Basic Probability Theory with Applications978-0-387-74995-2Series ISSN 1867-5506 Series E-ISSN 1867-5514
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https://doi.org/10.1007/978-0-387-74995-2Probability theory; Random variable; central limit theory; queuing models; random variables; random vecto
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1867-5506 ents of di?erential calculus. Even though this chapter might not be covered in class, the students can refer to it when needed. In this chapter, an e?ort was made to give the readers a good idea of the use in p978-1-4614-2923-4978-0-387-74995-2Series ISSN 1867-5506 Series E-ISSN 1867-5514
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Textbook 2009n probability. For this reason, I have decided to write a chapter reviewing the basic elements of di?erential calculus. Even though this chapter might not be covered in class, the students can refer to it when needed. In this chapter, an e?ort was made to give the readers a good idea of the use in p
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1867-5506 robability, random variables, random vectors and the centralThe main intended audience for this book is undergraduate students in pure and applied sciences, especially those in engineering. Chapters 2 to 4 cover the probability theory they generally need in their training. Although the treatment of
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Textbook 2009r the probability theory they generally need in their training. Although the treatment of the subject is surely su?cient for non-mathematicians, I intentionally avoided getting too much into detail. For instance, topics such as mixed type random variables and the Dirac delta function are only brie?y
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