| 000 | 02648 a2200265 4500 | ||
|---|---|---|---|
| 008 | 240821b1996 |||||||| |||| 00| 0 eng d | ||
| 020 | _a9780792340874 (HB) | ||
| 041 | _aeng | ||
| 080 |
_a519.216 _bBOSQ |
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| 100 | _aBosq, Denis | ||
| 245 |
_aA Course in Stochastic Processes _b: Stochastic Models and Statistical Inference |
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| 260 |
_bSpringer _c1996 _aDordrecht |
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| 300 | _ax, 351p. | ||
| 440 | _aTheory and decision library | ||
| 490 |
_aSeries B: Mathematical and statistical methods _v34 |
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| 504 | _aIncludes Bibliography (313-314) and Index | ||
| 505 | _a1 Basic Probability Background 2 Modeling Random Phenomena 3 Discrete - Time Markov Chains 4 Poisson Processes 5 Continuous - Time Markov Chains 6 Random Walks 7 Renewal Theory 8 Queueing Theory 9 Stationary Processes 10 ARMA model 11 Discrete-Time Martingales 12 Brownian Motion and Diffusion Processes 13 Statistics for Poisson Processes 14 Statistics of Discrete-Time Stationary Processes 15 Statistics of Diffusion Processes | ||
| 520 | _aThis text is an Elementary Introduction to Stochastic Processes in discrete and continuous time with an initiation of the statistical inference. The material is standard and classical for a first course in Stochastic Processes at the senior/graduate level (lessons 1-12). To provide students with a view of statistics of stochastic processes, three lessons (13-15) were added. These lessons can be either optional or serve as an introduction to statistical inference with dependent observations. Several points of this text need to be elaborated, (1) The pedagogy is somewhat obvious. Since this text is designed for a one semester course, each lesson can be covered in one week or so. Having in mind a mixed audience of students from different departments (Math ematics, Statistics, Economics, Engineering, etc.) we have presented the material in each lesson in the most simple way, with emphasis on moti vation of concepts, aspects of applications and computational procedures. Basically, we try to explain to beginners questions such as "What is the topic in this lesson?" "Why this topic?", "How to study this topic math ematically?". The exercises at the end of each lesson will deepen the students' understanding of the material, and test their ability to carry out basic computations. Exercises with an asterisk are optional (difficult) and might not be suitable for homework, but should provide food for thought | ||
| 650 | _aDistribution | ||
| 650 | _aMathematical statistics | ||
| 650 | _aProbability | ||
| 690 | _aMathematics | ||
| 700 | _aNguyen, Hung T. | ||
| 942 | _cBK | ||
| 999 |
_c60552 _d60552 |
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