- 902 Want to read
- ·
- 9 Currently reading

Published **1991**
by M. Dekker in New York .

Written in English

- Stochastic processes.,
- Mathematical statistics.

**Edition Notes**

Includes bibliographical references and index.

Statement | edited by N.U. Prabhu, I.V. Basawa. |

Series | Probability, pure and applied ;, 6 |

Contributions | Prabhu, N. U. 1924-, Basawa, Ishwar V. |

Classifications | |
---|---|

LC Classifications | QA274.3 .S73 1991 |

The Physical Object | |

Pagination | viii, 276 p. : |

Number of Pages | 276 |

ID Numbers | |

Open Library | OL1863179M |

ISBN 10 | 0824784170 |

LC Control Number | 90020939 |

His research interests include inference for stochastic processes, applied probability and stochastic modeling. He has published about 35 papers in these areas mostly in international journals. Dr Rajarshi retired in from the University of Pune as a Professor of by: 9. Book Description. Covering both theory and applications, this collection of eleven contributed papers surveys the role of probabilistic models and statistical techniques in image analysis and processing, develops likelihood methods for inference about parameters that determine the drift and the jump mechanism of a di. Statistical Inference in Stochastic Processes - CRC Press Book Covering both theory and applications, this collection of eleven contributed papers surveys the role of probabilistic models and statistical techniques in image analysis and processing, develops likelihood methods for inference about parameters that determine the drift and the jump mechanism of a di. Statistical Inference Stochastic Processes provides information pertinent to the theory of stochastic processes. This book discusses stochastic models that are increasingly used in scientific research and describes some of their Edition: 1.

The lessons cover basic stochastic processes such as Poisson processes, Markov chains, random walks, renewal theory, queuing theory, Arma models, martingales, Brownian motion and diffusion processes. The statistical topics treated include the basic aspects of statistics of point processes, stationary processes and diffusion by: 5. It is important that a chapter devoted to the fundamental concepts in stochastic processes is included. Bayesian inference (estimation, testing hypotheses, and prediction) for discrete time Markov chains, for Markov jump processes, for normal processes (e.g. Brownian motion and the Ornstein–Uhlenbeck process), for traditional time series, and, lastly, for point and spatial processes 2/5(1). The book deals with classical as well as most recent developments in the area of inference in discrete time stationary stochastic processes ; Topics discussed include Markov chains, non-Gaussian sequences, estimating function, density estimation and bootstrap for stationary observations and some of the results are available in a book form, most likely, for the first time. Statistical Inference for Stochastic Processes is an international journal publishing articles on parametric and nonparametric inference for discrete- and continuous-time stochastic processes, and their applications to biology, chemistry, physics, .

This book defines and investigates the concept of a random object. To accomplish this task in a natural way, it brings together three major areas; statistical inference, measure-theoretic probability theory and stochastic : Athanasios Christou Micheas. The material is standard and classical for a first course in Stochastic Processes at the senior/graduate level (lessons ). To provide students with a view of statistics of stochastic processes, three lessons () were added. These lessons can be either optional or serve as an introduction to statistical inference with dependent observations. Statistical inference for stochastic processes deals with dependent observations made at time points in {0, 1, 2, ⋯ } or [0, ∞). Thus, the time parameter can be . In model building, statistical inference for stochastic processes is of great importance from both a theoretical and an applications point of view. This book deals with Fractional Diffusion Processes and statistical inference for such stochastic processes.

- World of Variation

Mustafa Barzani and the Kurdish liberation movement, 1931-1961- Solid-state chemistry

The Pilgrim Colony- Papers [in the Library of Congress]
- American mind in action

The Many-faceted Jacksonian era- dBASE programming
- Bridget Reidy.

Jewish identity- Breakfast cookbook
- Gay-Dombeys

An analysis of the problems involved in the utilization of merchant shipping to support the U.S. Government during declared mobilization situations- My novel
- Materials & methods in continuing education
- Wide World of Girl Guiding and Girl Scouting
- World airports, the way ahead
- Sephardic Jews of Spain and Portugal
- Industry among the Indians at various reservations, 1913. Letter from the Secretary of the Interior, transmitting detailed report of expenditures for the purpose of encouraging industry among the Indians at various reservations during fiscal year ended June 30, 1913.
- citye match