Statistical Inference for Diffusion Type Processes: v. 8 - Rilegato

Prakasa Rao, B. L. S.; Rao, B. L. S. Prakasa

Rilegato

ISBN 10: 034074149X ISBN 13: 9780340741498

Casa editrice: John Wiley & Sons Inc, 1999

Riassunto

Statistical inference for stochastic processes is of great importance from the theoretical as well as from an applications point of view in model building. Among the more widely used continuous time processes for stochastic modeling, diffusion type processes have been studied for more than 20 years. This book is a synthesis of those twenty years of research and application and aims to bring together several methods of estimation of parameters involved in processes observed continuously over periods of time or when sampled data is available as generally feasible. It is accessible to postgraduate students of mathematics and statistics and includes many new application areas and examples with exercises.

Su questo libro

Informazioni sull?autore

B.L.S. Prakasa Rao is a Professor at the Indian Statistics Institute, New Delhi, India.

Dalla quarta di copertina

Decision making in all spheres of activity involves uncertainty. If rational decisions have to be made, they have to be based on the past observations of the phenomenon in question. Data collection, model building and inference from the data collected, validation of the model and refinement of the model are the key steps or building blocks involved in any rational decision making process. Stochastic processes are widely used for model building in the social, physical, engineering, and life sciences as well as in financial economics. Statistical inference for stochastic processes is of great importance from the theoretical as well as from applications point of view in model building. During the past twenty years, there has been a large amount of progress in the study of inferential aspects for continuous as well as discrete time stochastic processes. Diffusion type processes are a large class of continuous time processes which are widely used for stochastic modelling. the book aims to bring together several methods of estimation of parameters involved in such processes when the process is observed continuously over a period of time or when sampled data is available as generally feasible.

Dettagli dell?edizione

• Editore: John Wiley & Sons Inc
• Data di pubblicazione: 1999
• Lingua: Inglese
• ISBN 10: 034074149X
• ISBN 13: 9780340741498
• Rilegatura: Copertina rigida
• Numero di pagine: 349
• Contatto del produttore: non disponibile
• Persona responsabile: non disponibile