This textbook intends to be a comprehensive and substantially self-contained two-volume book covering performance, reliability, and availability evaluation subjects. The first volume covers Chapter 1 to Chapter 14, whose subtitle is ``Performance Modeling and Background".
This textbook intends to be a comprehensive and substantially self-contained two-volume book covering performance, reliability, and availability evaluation subjects. The first volume covers Chapter 1 to Chapter 14, whose subtitle is ``Performance Modeling and Background".Hinweis: Dieser Artikel kann nur an eine deutsche Lieferadresse ausgeliefert werden.
Paulo Romero Martins Maciel is Full Professor at Centro de Informática da Universidade Federal de Pernambuco (UFPE), Brazil
Inhaltsangabe
Chapter 1 Introduction PART I Fundamental Concepts Chapter 2 Introduction to Probability Chapter 3 Exploratory Data Analysis Chapter 4 Introduction to Random Variables Chapter 5 Some Important Random Variables Chapter 6 Statistical Inference and Data Fitting Chapter 7 Data Scaling, Distances and Clustering PART II Performance Modeling Chapter 8 Operational Analysis Chapter 9 Discrete Time Markov Chain Chapter 10 Continuous Time Markov Chain Chapter 11 Basic Queueing Models Chapter 12 Petri Nets Chapter 13 Stochastic Petri Nets Chapter 14 Stochastic Simulation
Chapter 1 Introduction PART I Fundamental Concepts Chapter 2 Introduction to Probability Chapter 3 Exploratory Data Analysis Chapter 4 Introduction to Random Variables Chapter 5 Some Important Random Variables Chapter 6 Statistical Inference and Data Fitting Chapter 7 Data Scaling, Distances and Clustering PART II Performance Modeling Chapter 8 Operational Analysis Chapter 9 Discrete Time Markov Chain Chapter 10 Continuous Time Markov Chain Chapter 11 Basic Queueing Models Chapter 12 Petri Nets Chapter 13 Stochastic Petri Nets Chapter 14 Stochastic Simulation
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