Author: Publisher:
ISBN:
Category :
Languages : en
Pages : 788
Book Description
Journal of Applied Probability, Vol 7
Author: Journal of Applied Probability
Author: Journal of Applied Probability
Author: Publisher:
ISBN: 9780902016026
Category : Mathematical models
Languages : en
Pages : 438
Book Description
Controlled Branching Processes
Author: Miguel González VelascoPublisher: John Wiley & Sons
ISBN: 1786302535
Category : Mathematics
Languages : en
Pages : 240
Book Description
The purpose of this book is to provide a comprehensive discussion of the available results for discrete time branching processes with random control functions. The independence of individuals’ reproduction is a fundamental assumption in the classical branching processes. Alternatively, the controlled branching processes (CBPs) allow the number of reproductive individuals in one generation to decrease or increase depending on the size of the previous generation. Generating a wide range of behaviors, the CBPs have been successfully used as modeling tools in diverse areas of applications.
Journal of Applied Probability
Author: London Mathematical SocietyPublisher:
ISBN:
Category : Mathematical models
Languages : en
Pages :
Book Description
Performance Evaluation of Complex Systems: Techniques and Tools
Author: Maria Carla CalzarossaPublisher: Springer
ISBN: 3540457984
Category : Computers
Languages : en
Pages : 509
Book Description
This book presents the tutorial lectures given by leading experts in the area at the IFIP WG 7.3 International Symposium on Computer Modeling, Measurement and Evaluation, Performance 2002, held in Rome, Italy in September 2002.The survey papers presented are devoted to theoretical and methodological advances in performance and reliability evaluation as well as new perspectives in the major application fields. Modeling and verification issues, solution methods, workload characterization, and benchmarking are addressed from the methodological point of view. Among the applications dealt with are hardware and software architectures, wired and wireless networks, grid environments, Web services, and real-time voice and video processing.This book is intended to serve as a state-of-the-art survey and reference for students, scientists, and engineers active in the area of performance and reliability evaluation.
The Author's Guide to the Applied Probability Journals
Author: Kathleen M. LylePublisher:
ISBN:
Category : Advances in Applied Probability
Languages : en
Pages : 40
Book Description
Journal of Applied Probability
Author: Earthquake Statistical Analysis through Multi-state Modeling
Author: Irene VotsiPublisher: John Wiley & Sons
ISBN: 1119579082
Category : Mathematics
Languages : en
Pages : 128
Book Description
Earthquake occurrence modeling is a rapidly developing research area. This book deals with its critical issues, ranging from theoretical advances to practical applications. The introductory chapter outlines state-of-the-art earthquake modeling approaches based on stochastic models. Chapter 2 presents seismogenesis in association with the evolving stress field. Chapters 3 to 5 present earthquake occurrence modeling by means of hidden (semi-)Markov models and discuss associated characteristic measures and relative estimation aspects. Further comparisons, the most important results and our concluding remarks are provided in Chapters 6 and 7.
Estimation of Stochastic Processes with Stationary Increments and Cointegrated Sequences
Author: Maksym LuzPublisher: John Wiley & Sons
ISBN: 1119663520
Category : Mathematics
Languages : en
Pages : 314
Book Description
Estimation of Stochastic Processes is intended for researchers in the field of econometrics, financial mathematics, statistics or signal processing. This book gives a deep understanding of spectral theory and estimation techniques for stochastic processes with stationary increments. It focuses on the estimation of functionals of unobserved values for stochastic processes with stationary increments, including ARIMA processes, seasonal time series and a class of cointegrated sequences. Furthermore, this book presents solutions to extrapolation (forecast), interpolation (missed values estimation) and filtering (smoothing) problems based on observations with and without noise, in discrete and continuous time domains. Extending the classical approach applied when the spectral densities of the processes are known, the minimax method of estimation is developed for a case where the spectral information is incomplete and the relations that determine the least favorable spectral densities for the optimal estimations are found.