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Probability and statistics with integrated software routines [[electronic resource] /] / Ronald Deep
Probability and statistics with integrated software routines [[electronic resource] /] / Ronald Deep
Autore Deep Ronald
Pubbl/distr/stampa Burlington, MA, : Academic Press, c2006
Descrizione fisica 1 online resource (707 p.)
Disciplina 519.2
Soggetto topico Probabilities - Computer simulation
Mathematical statistics - Computer simulation
Soggetto genere / forma Electronic books.
ISBN 1-281-05054-7
9786611050542
0-08-048038-1
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Front Cover; Probability and Statistics; Copyright Page; Table of Contents; Preface; Acknowledgments; Chapter 1. Introduction to Probability; 1.0 Introduction; 1.1 Interpretations of Probability; 1.2 Sets; 1.3 Probability Parlance; 1.4 Probability Theorems; 1.5 Conditional Probability and Independence; 1.6 Bayes's Rule; 1.7 Counting the Ways; 1.8 Summary; Chapter 2. Random Variables, Moments, and Distributions; 2.0 Introduction; 2.1 Random Variables; 2.2 Distributions; 2.3 Moments; 2.4 Standardized Random Variables; 2.5 Jointly Distributed Random Variables
2.6 Independence of Jointly Distributed Random Variables2.7 Covariance and Correlation; 2.8 Conditional Densities Functions; 2.9 Moment Generating Functions; 2.10 Transformation of Variables; 2.11 Summary; Chapter 3. Special Discrete Distributions; 3.0 Introduction; 3.1 Discrete Uniform; 3.2 Bernoulli Distribution; 3.3 Binomial Distribution; 3.4 Multinomial Distribution; 3.5 Hypergeometric Distribution; 3.6 Geometric Distribution; 3.7 Negative Binomial Distribution; 3.8 Poisson Distribution; 3.9 Summary; Chapter 4. Special Continuous Distributions; 4.0 Introduction
4.1 Continuous Uniform Distribution4.2 Gamma Function; 4.3 Gamma Family (Exponential, Chi-Square, Gamma); 4.4 Exponential Distribution; 4.5 Chi-Square Distribution; 4.6 Normal Distribution; 4.7 Student t Distribution; 4.8 Beta Distribution; 4.9 Weibull Distribution; 4.10 F Distribution; 4.11 Summary; Chapter 5. Sampling, Data Displays, Measures of Central Tendencies, Measures of Dispersion, and Simulation; 5.0 Introduction; 5.1 Data Displays; 5.2 Measures of Location; 5.3 Measures of Dispersion; 5.4 Joint Distribution of X-and S2; 5.5 Simulation of Random Variables
5.6 Using Monte Carlo for Integration5.7 Order Statistics; 5.8 Summary; Chapter 6. Point and Interval Estimation; 6.0 Introduction; 6.1 Unbiased Estimators and Point Estimates; 6.2 Methods of Finding Point Estimates; 6.3 Interval Estimates (Confidence Intervals); 6.4 Prediction Intervals; 6.5 Central Limit Theorem (Revisited); 6.6 Parametric Bootstrap Estimation; 6.7 Summary; Chapter 7. Hypothesis Testing; 7.0 Introduction; 7.1 Terminology in Statistical Tests of Hypotheses; 7.2 Hypothesis Tests: Means; 7.3 Hypothesis Tests: Proportions
7.4 Hypothesis Tests for Difference between Two Means: Small Samples (n < 30) a2 Known7.5 Hypothesis Test with Paired Samples; 7.6 Hypothesis Tests: Variances; 7.7 Hypothesis Tests for Independence, Homogeneity, and Goodness of Fit; 7.8 Summary; Chapter 8. Regression; 8.0 Introduction; 8.1 Review of Joint and Conditional Densities; 8.2 Simple Linear Regression; 8.3 Distribution of Estimators with Inference on Parameters; 8.4 Variation; 8.5 Residual Analysis; 8.6 Convertible Nonlinear Forms for Linear Regression; 8.7 Polynomial Regression; 8.8 Multiple Linear Regression
8.9 Multiple Regression Techniques
Record Nr. UNINA-9910458630303321
Deep Ronald  
Burlington, MA, : Academic Press, c2006
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Probability and statistics with integrated software routines [[electronic resource] /] / Ronald Deep
Probability and statistics with integrated software routines [[electronic resource] /] / Ronald Deep
Autore Deep Ronald
Pubbl/distr/stampa Burlington, MA, : Academic Press, c2006
Descrizione fisica 1 online resource (707 p.)
Disciplina 519.2
Soggetto topico Probabilities - Computer simulation
Mathematical statistics - Computer simulation
ISBN 1-281-05054-7
9786611050542
0-08-048038-1
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Front Cover; Probability and Statistics; Copyright Page; Table of Contents; Preface; Acknowledgments; Chapter 1. Introduction to Probability; 1.0 Introduction; 1.1 Interpretations of Probability; 1.2 Sets; 1.3 Probability Parlance; 1.4 Probability Theorems; 1.5 Conditional Probability and Independence; 1.6 Bayes's Rule; 1.7 Counting the Ways; 1.8 Summary; Chapter 2. Random Variables, Moments, and Distributions; 2.0 Introduction; 2.1 Random Variables; 2.2 Distributions; 2.3 Moments; 2.4 Standardized Random Variables; 2.5 Jointly Distributed Random Variables
2.6 Independence of Jointly Distributed Random Variables2.7 Covariance and Correlation; 2.8 Conditional Densities Functions; 2.9 Moment Generating Functions; 2.10 Transformation of Variables; 2.11 Summary; Chapter 3. Special Discrete Distributions; 3.0 Introduction; 3.1 Discrete Uniform; 3.2 Bernoulli Distribution; 3.3 Binomial Distribution; 3.4 Multinomial Distribution; 3.5 Hypergeometric Distribution; 3.6 Geometric Distribution; 3.7 Negative Binomial Distribution; 3.8 Poisson Distribution; 3.9 Summary; Chapter 4. Special Continuous Distributions; 4.0 Introduction
4.1 Continuous Uniform Distribution4.2 Gamma Function; 4.3 Gamma Family (Exponential, Chi-Square, Gamma); 4.4 Exponential Distribution; 4.5 Chi-Square Distribution; 4.6 Normal Distribution; 4.7 Student t Distribution; 4.8 Beta Distribution; 4.9 Weibull Distribution; 4.10 F Distribution; 4.11 Summary; Chapter 5. Sampling, Data Displays, Measures of Central Tendencies, Measures of Dispersion, and Simulation; 5.0 Introduction; 5.1 Data Displays; 5.2 Measures of Location; 5.3 Measures of Dispersion; 5.4 Joint Distribution of X-and S2; 5.5 Simulation of Random Variables
5.6 Using Monte Carlo for Integration5.7 Order Statistics; 5.8 Summary; Chapter 6. Point and Interval Estimation; 6.0 Introduction; 6.1 Unbiased Estimators and Point Estimates; 6.2 Methods of Finding Point Estimates; 6.3 Interval Estimates (Confidence Intervals); 6.4 Prediction Intervals; 6.5 Central Limit Theorem (Revisited); 6.6 Parametric Bootstrap Estimation; 6.7 Summary; Chapter 7. Hypothesis Testing; 7.0 Introduction; 7.1 Terminology in Statistical Tests of Hypotheses; 7.2 Hypothesis Tests: Means; 7.3 Hypothesis Tests: Proportions
7.4 Hypothesis Tests for Difference between Two Means: Small Samples (n < 30) a2 Known7.5 Hypothesis Test with Paired Samples; 7.6 Hypothesis Tests: Variances; 7.7 Hypothesis Tests for Independence, Homogeneity, and Goodness of Fit; 7.8 Summary; Chapter 8. Regression; 8.0 Introduction; 8.1 Review of Joint and Conditional Densities; 8.2 Simple Linear Regression; 8.3 Distribution of Estimators with Inference on Parameters; 8.4 Variation; 8.5 Residual Analysis; 8.6 Convertible Nonlinear Forms for Linear Regression; 8.7 Polynomial Regression; 8.8 Multiple Linear Regression
8.9 Multiple Regression Techniques
Record Nr. UNINA-9910784641203321
Deep Ronald  
Burlington, MA, : Academic Press, c2006
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Probability and statistics with integrated software routines / / Ronald Deep
Probability and statistics with integrated software routines / / Ronald Deep
Autore Deep Ronald
Edizione [1st ed.]
Pubbl/distr/stampa Burlington, MA, : Academic Press, c2006
Descrizione fisica 1 online resource (707 p.)
Disciplina 519.2
Soggetto topico Probabilities - Computer simulation
Mathematical statistics - Computer simulation
ISBN 9786611050542
9781281050540
1281050547
9780080480381
0080480381
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Front Cover; Probability and Statistics; Copyright Page; Table of Contents; Preface; Acknowledgments; Chapter 1. Introduction to Probability; 1.0 Introduction; 1.1 Interpretations of Probability; 1.2 Sets; 1.3 Probability Parlance; 1.4 Probability Theorems; 1.5 Conditional Probability and Independence; 1.6 Bayes's Rule; 1.7 Counting the Ways; 1.8 Summary; Chapter 2. Random Variables, Moments, and Distributions; 2.0 Introduction; 2.1 Random Variables; 2.2 Distributions; 2.3 Moments; 2.4 Standardized Random Variables; 2.5 Jointly Distributed Random Variables
2.6 Independence of Jointly Distributed Random Variables2.7 Covariance and Correlation; 2.8 Conditional Densities Functions; 2.9 Moment Generating Functions; 2.10 Transformation of Variables; 2.11 Summary; Chapter 3. Special Discrete Distributions; 3.0 Introduction; 3.1 Discrete Uniform; 3.2 Bernoulli Distribution; 3.3 Binomial Distribution; 3.4 Multinomial Distribution; 3.5 Hypergeometric Distribution; 3.6 Geometric Distribution; 3.7 Negative Binomial Distribution; 3.8 Poisson Distribution; 3.9 Summary; Chapter 4. Special Continuous Distributions; 4.0 Introduction
4.1 Continuous Uniform Distribution4.2 Gamma Function; 4.3 Gamma Family (Exponential, Chi-Square, Gamma); 4.4 Exponential Distribution; 4.5 Chi-Square Distribution; 4.6 Normal Distribution; 4.7 Student t Distribution; 4.8 Beta Distribution; 4.9 Weibull Distribution; 4.10 F Distribution; 4.11 Summary; Chapter 5. Sampling, Data Displays, Measures of Central Tendencies, Measures of Dispersion, and Simulation; 5.0 Introduction; 5.1 Data Displays; 5.2 Measures of Location; 5.3 Measures of Dispersion; 5.4 Joint Distribution of X-and S2; 5.5 Simulation of Random Variables
5.6 Using Monte Carlo for Integration5.7 Order Statistics; 5.8 Summary; Chapter 6. Point and Interval Estimation; 6.0 Introduction; 6.1 Unbiased Estimators and Point Estimates; 6.2 Methods of Finding Point Estimates; 6.3 Interval Estimates (Confidence Intervals); 6.4 Prediction Intervals; 6.5 Central Limit Theorem (Revisited); 6.6 Parametric Bootstrap Estimation; 6.7 Summary; Chapter 7. Hypothesis Testing; 7.0 Introduction; 7.1 Terminology in Statistical Tests of Hypotheses; 7.2 Hypothesis Tests: Means; 7.3 Hypothesis Tests: Proportions
7.4 Hypothesis Tests for Difference between Two Means: Small Samples (n < 30) a2 Known7.5 Hypothesis Test with Paired Samples; 7.6 Hypothesis Tests: Variances; 7.7 Hypothesis Tests for Independence, Homogeneity, and Goodness of Fit; 7.8 Summary; Chapter 8. Regression; 8.0 Introduction; 8.1 Review of Joint and Conditional Densities; 8.2 Simple Linear Regression; 8.3 Distribution of Estimators with Inference on Parameters; 8.4 Variation; 8.5 Residual Analysis; 8.6 Convertible Nonlinear Forms for Linear Regression; 8.7 Polynomial Regression; 8.8 Multiple Linear Regression
8.9 Multiple Regression Techniques
Record Nr. UNINA-9910961766003321
Deep Ronald  
Burlington, MA, : Academic Press, c2006
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Probability, Markov chains, queues, and simulation : the mathematical basis of performance modeling / William J. Stewart
Probability, Markov chains, queues, and simulation : the mathematical basis of performance modeling / William J. Stewart
Autore Stewart, William J., 1946-
Pubbl/distr/stampa Princeton, N.J. : Princeton University Press, c2009
Descrizione fisica xviii, 758 p. : ill. ; 27 cm
Disciplina 519.201
Soggetto topico Probabilities - Computer simulation
Markov processes
Queuing theory
ISBN 9780691140629
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Probability -- Combinatorics : the art of counting -- Random variables and distribution functions -- Joint and conditional distributions -- Expectations and more -- Discrete distribution functions -- Continuous distribution functions -- Bounds and limit theorems -- Discrete- and continuous-time Markov chains -- Numerical solution of Markov chains -- Elementary queueing theory -- Queues with phase-type laws : neuts' matrix-geometric method -- The z-transform approach to solving Markovian queues -- The M/G/1 and G/M/1 queues -- Queueing networks -- Some probabilistic and deterministic applications of random numbers -- Uniformly distributed "random" numbers -- Nonuniformly distributed "random" numbers -- Implementing discrete-event simulations -- Simulation measurements and accuracy
Record Nr. UNISALENTO-991001910629707536
Stewart, William J., 1946-  
Princeton, N.J. : Princeton University Press, c2009
Materiale a stampa
Lo trovi qui: Univ. del Salento
Opac: Controlla la disponibilità qui