Point Processes Point Processes
    • USD 239.99

Descripción editorial

There has been much recent research on the theory of point processes, i.e., on random systems consisting of point events occurring in space or time.  Applications range from emissions from a radioactive source, occurrences of accidents or machine breakdowns, or of electrical impluses along nerve fibres, to repetitive point events in an individual's medical or social history. Sometimes the point events occur in space rather than time and the application here raneg from statistical physics to geography.  The object of this book is to develop the applied mathemathics of point processes at a level which will make the ideas accessible both to the research worker and the postgraduate student in probability and statistics and also to the mathemathically inclined individual in another field interested in using ideas and results.  A thorough knowledge of the key notions of elementary probability theory is required to understand the book, but specialised "pure mathematical" coniderations have been avoided.

GÉNERO
Ciencia y naturaleza
PUBLICADO
2018
19 de diciembre
IDIOMA
EN
Inglés
EXTENSIÓN
188
Páginas
EDITORIAL
CRC Press
VENDEDOR
Taylor & Francis Group
TAMAÑO
4.1
MB
Components of Variance Components of Variance
2002
Queues Queues
2020
Time Series Models Time Series Models
2020
Applied Statistics - Principles and Examples Applied Statistics - Principles and Examples
2018
Analysis of Binary Data Analysis of Binary Data
2018
Analysis of Survival Data Analysis of Survival Data
2018
Hierarchical Modeling and Analysis for Spatial Data Hierarchical Modeling and Analysis for Spatial Data
2025
Robust Small Area Estimation Robust Small Area Estimation
2025
Robust Nonparametric Statistical Methods Robust Nonparametric Statistical Methods
2010
Statistical Methods for Stochastic Differential Equations Statistical Methods for Stochastic Differential Equations
2012
Maximum Likelihood Estimation for Sample Surveys Maximum Likelihood Estimation for Sample Surveys
2012
Components of Variance Components of Variance
2002