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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 | ||
| ||
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 | ||
| ||
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 | ||
| ||