Point Processes Point Processes
    • ‏249٫99 US$

وصف الناشر

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.

النوع
علم وطبيعة
تاريخ النشر
٢٠١٨
١٩ ديسمبر
اللغة
EN
الإنجليزية
عدد الصفحات
١٨٨
الناشر
CRC Press
البائع
Taylor & Francis Group
الحجم
٤٫١
‫م.ب.‬
An Introduction to the Theory of Point Processes An Introduction to the Theory of Point Processes
٢٠٠٧
Matrix-Analytic Methods in Stochastic Models Matrix-Analytic Methods in Stochastic Models
٢٠١٢
A Multivariate Claim Count Model for Applications in Insurance A Multivariate Claim Count Model for Applications in Insurance
٢٠١٨
Recent Advances in Applied Probability Recent Advances in Applied Probability
٢٠٠٦
Statistical Inference for Piecewise-deterministic Markov Processes Statistical Inference for Piecewise-deterministic Markov Processes
٢٠١٨
Dependence in Probability and Statistics Dependence in Probability and Statistics
٢٠٠٦
Principles of Statistical Inference Principles of Statistical Inference
٢٠٠٦
Applied Statistics - Principles and Examples Applied Statistics - Principles and Examples
٢٠١٨
Components of Variance Components of Variance
٢٠٠٢
Queues Queues
٢٠٢٠
Time Series Models Time Series Models
٢٠٢٠
Analysis of Binary Data Analysis of Binary Data
٢٠١٨
Introduction to Time Series Modeling with Applications in R Introduction to Time Series Modeling with Applications in R
٢٠٢٠
Markov Models & Optimization Markov Models & Optimization
٢٠١٨
Statistical Evidence Statistical Evidence
٢٠١٧
Statistical Inference Statistical Inference
٢٠١٧
Hierarchical Modeling and Analysis for Spatial Data Hierarchical Modeling and Analysis for Spatial Data
٢٠٢٥
Robust Small Area Estimation Robust Small Area Estimation
٢٠٢٥