| Description |
1 online resource (xi, 286 pages) |
| Series |
Applied stochastic methods series |
|
Applied stochastic methods series.
|
| Bibliography |
Includes bibliographical references and index. |
| Contents |
pt. 1. Mathematical statistics -- pt. 2. Statistics for stochastic processes -- pt. 3. Supplement. |
| Summary |
Generally, books on mathematical statistics are restricted to the case of independent identically distributed random variables. In this book however, both this case AND the case of dependent variables, i.e. statistics for discrete and continuous time processes, are studied. This second case is very important for today's practitioners. Mathematical Statistics and Stochastic Processes is based on decision theory and asymptotic statistics and contains up-to-date information on the relevant topics of theory of probability, estimation, confidence intervals, non-parametric statistics and rob. |
| Subject |
Mathematical statistics.
|
|
Stochastic processes.
|
|
Processus stochastiques. |
|
Mathematical statistics |
|
Stochastic processes |
|
Statistik |
|
Stochastischer Prozess |
| Other Form: |
Print version: Bosq, Denis, 1939- Mathematical statistics and stochastic processes. London : ISTE ; Hoboken, NJ : Wiley, 2012 9781848213616 (DLC) 2012006812 (OCoLC)781277899 |
| ISBN |
9781118562024 (electronic bk.) |
|
111856202X (electronic bk.) |
|
9781118586129 (electronic bk.) |
|
1118586123 (electronic bk.) |
|
9781299186965 (MyiLibrary) |
|
1299186963 (MyiLibrary) |
|
9781118586273 |
|
1118586271 |
|
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