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Guidelines for determining the probability of ignition of a released flammable mass / / Center for Chemical Process Safety, New York, NY
| Guidelines for determining the probability of ignition of a released flammable mass / / Center for Chemical Process Safety, New York, NY |
| Pubbl/distr/stampa | Hoboken, New Jersey : , : Wiley, , 2014 |
| Descrizione fisica | 1 online resource (262 p.) |
| Disciplina | 660/.2961 |
| Soggetto topico |
Flammable materials - Fires and fire prevention - Mathematical models
Chemicals - Fires and fire prevention - Mathematical models Chemical processes - Safety measures - Mathematical models Probabilities - Mathematical models |
| ISBN |
1-68015-661-6
1-118-87029-8 1-118-87034-4 1-118-87038-7 |
| Classificazione | TEC009010 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | ESTIMATION METHODS -- TECHNICAL BACKGROUND AND DATA SOURCES -- ADDITIONAL EXAMPLES -- SOFTWARE ILLUSTRATION -- APPENDIX A: CHEMICAL PROPERTY DATA -- APPENDIX B: OTHER MODELS FOR CONSIDERATION. |
| Record Nr. | UNINA-9910132174103321 |
| Hoboken, New Jersey : , : Wiley, , 2014 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Guidelines for determining the probability of ignition of a released flammable mass / / Center for Chemical Process Safety, New York, NY
| Guidelines for determining the probability of ignition of a released flammable mass / / Center for Chemical Process Safety, New York, NY |
| Pubbl/distr/stampa | Hoboken, New Jersey : , : Wiley, , 2014 |
| Descrizione fisica | 1 online resource (262 p.) |
| Disciplina | 660/.2961 |
| Soggetto topico |
Flammable materials - Fires and fire prevention - Mathematical models
Chemicals - Fires and fire prevention - Mathematical models Chemical processes - Safety measures - Mathematical models Probabilities - Mathematical models |
| ISBN |
1-68015-661-6
1-118-87029-8 1-118-87034-4 1-118-87038-7 |
| Classificazione | TEC009010 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | ESTIMATION METHODS -- TECHNICAL BACKGROUND AND DATA SOURCES -- ADDITIONAL EXAMPLES -- SOFTWARE ILLUSTRATION -- APPENDIX A: CHEMICAL PROPERTY DATA -- APPENDIX B: OTHER MODELS FOR CONSIDERATION. |
| Record Nr. | UNINA-9910818935603321 |
| Hoboken, New Jersey : , : Wiley, , 2014 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Limit theorems in probability, statistics and number theory : in honor of Friedrich Gotze / / Peter Eichelsbacher ... [et. al.], editors
| Limit theorems in probability, statistics and number theory : in honor of Friedrich Gotze / / Peter Eichelsbacher ... [et. al.], editors |
| Edizione | [1st ed. 2013.] |
| Pubbl/distr/stampa | New York, : Springer, 2013 |
| Descrizione fisica | 1 online resource (viii, 317 pages) : illustrations, portrait |
| Disciplina | 519.2 |
| Altri autori (Persone) | EichelsbacherPeter |
| Collana | Springer proceedings in mathematics and statistics |
| Soggetto topico |
Probabilities - Mathematical models
Number theory |
| ISBN | 3-642-36068-8 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | W. van Zwet: A conversation with Friedrich Götze -- V. Bernik, V. Beresnevich, F. Götze, O. Kukso: Distribution of algebraic numbers and metric theory of Diophantine approximation -- J. Marklof: Fine-scale statistics for the multidimensional Farey sequence -- S. G. Bobkov, M. M. Madiman: On the problem of reversibility of the entropy power inequality -- G. P. Chistyakov: On probability measures with unbounded angular ratio -- M. Gordin: CLT for stationary normal Markov chains via generalized coboundaries -- T. Mai, R. Speicher: Operator-valued and multivariate free Berry-Esseen theorems -- T. Mai, R. Speicher: Operator-valued and multivariate free Berry-Esseen theorems -- R. Bhattacharya: A nonparametric theory of statistics on manifolds -- J. Lember, H. Matzinger, F. Torres: Proportion of gaps and uctuations of the optimal score in random sequence comparison -- Y. V. Prokhorov, V. V. Ulyanov: Some approximation problems in statistics and probability -- H. Döring, P. Eichelsbacher: Moderate deviations for the determinant of Wigner matrices -- O. Friesen, M. Löwe: The semicircle law for matrices with dependent entries -- A. Tikhomirov: Limit theorems for random matrices. |
| Record Nr. | UNINA-9910739462403321 |
| New York, : Springer, 2013 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Models for probability and statistical inference [[electronic resource] ] : theory and applications / / James H. Stapleton
| Models for probability and statistical inference [[electronic resource] ] : theory and applications / / James H. Stapleton |
| Autore | Stapleton James H. <1931-> |
| Pubbl/distr/stampa | Hoboken, N.J., : Wiley-Interscience, c2008 |
| Descrizione fisica | 1 online resource (466 p.) |
| Disciplina | 519.2 |
| Collana | Wiley series in probability and statistics |
| Soggetto topico |
Probabilities - Mathematical models
Probabilities - Industrial applications |
| Soggetto genere / forma | Electronic books. |
| ISBN |
1-281-22157-0
9786611221577 0-470-18341-1 0-470-18340-3 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Models for Probability and Statistical Inference; Contents; Preface; 1. Discrete Probability Models; 1.1. Introduction; 1.2. Sample Spaces, Events, and Probability Measures; 1.3. Conditional Probability and Independence; 1.4. Random Variables; 1.5. Expectation; 1.6. The Variance; 1.7. Covariance and Correlation; 2. Special Discrete Distributions; 2.1. Introduction; 2.2. The Binomial Distribution; 2.3. The Hypergeometric Distribution; 2.4. The Geometric and Negative Binomial Distributions; 2.5. The Poisson Distribution; 3. Continuous Random Variables; 3.1. Introduction
3.2. Continuous Random Variables3.3. Expected Values and Variances for Continuous Random Variables; 3.4. Transformations of Random Variables; 3.5. Joint Densities; 3.6. Distributions of Functions of Continuous Random Variables; 4. Special Continuous Distributions; 4.1. Introduction; 4.2. The Normal Distribution; 4.3. The Gamma Distribution; 5. Conditional Distributions; 5.1. Introduction; 5.2. Conditional Expectations for Discrete Random Variables; 5.3. Conditional Densities and Expectations for Continuous Random Variables; 6. Moment Generating Functions and Limit Theory; 6.1. Introduction 6.2. Moment Generating Functions6.3. Convergence in Probability and in Distribution and the Weak Law of Large Numbers; 6.4. The Central Limit Theorem; 7. Estimation; 7.1. Introduction; 7.2. Point Estimation; 7.3. The Method of Moments; 7.4. Maximum Likelihood; 7.5. Consistency; 7.6. The δ-Method; 7.7. Confidence Intervals; 7.8. Fisher Information, Cramér-Rao Bound and Asymptotic Normality of MLEs; 7.9. Sufficiency; 8. Testing of Hypotheses; 8.1. Introduction; 8.2. The Neyman-Pearson Lemma; 8.3. The Likelihood Ratio Test 8.4. The p-Value and the Relationship between Tests of Hypotheses and Confidence Intervals9. The Multivariate Normal, Chi-Square, t, and F Distributions; 9.1. Introduction; 9.2. The Multivariate Normal Distribution; 9.3. The Central and Noncentral Chi-Square Distributions; 9.4. Student's t-Distribution; 9.5. The F-Distribution; 10. Nonparametric Statistics; 10.1. Introduction; 10.2. The Wilcoxon Test and Estimator; 10.3. One-Sample Methods; 10.4. The Kolmogorov-Smirnov Tests; 11. Linear Statistical Models; 11.1. Introduction; 11.2. The Principle of Least Squares; 11.3. Linear Models 11.4. F-Tests for H(0): θ = β(1)X(1) + · · · + β(k)X(k) V(0), a Subspace of V11.5. Two-Way Analysis of Variance; 12. Frequency Data; 12.1. Introduction; 12.2. Confidence Intervals on Binomial and Poisson Parameters; 12.3. Logistic Regression; 12.4. Two-Way Frequency Tables; 12.5. Chi-Square Goodness-of-Fit Tests; 13. Miscellaneous Topics; 13.1. Introduction; 13.2. Survival Analysis; 13.3. Bootstrapping; 13.4. Bayesian Statistics; 13.5. Sampling; References; Appendix; Answers to Selected Problems; Index |
| Record Nr. | UNINA-9910144709803321 |
Stapleton James H. <1931->
|
||
| Hoboken, N.J., : Wiley-Interscience, c2008 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Models for probability and statistical inference [[electronic resource] ] : theory and applications / / James H. Stapleton
| Models for probability and statistical inference [[electronic resource] ] : theory and applications / / James H. Stapleton |
| Autore | Stapleton James H. <1931-> |
| Pubbl/distr/stampa | Hoboken, N.J., : Wiley-Interscience, c2008 |
| Descrizione fisica | 1 online resource (466 p.) |
| Disciplina | 519.2 |
| Collana | Wiley series in probability and statistics |
| Soggetto topico |
Probabilities - Mathematical models
Probabilities - Industrial applications |
| ISBN |
1-281-22157-0
9786611221577 0-470-18341-1 0-470-18340-3 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Models for Probability and Statistical Inference; Contents; Preface; 1. Discrete Probability Models; 1.1. Introduction; 1.2. Sample Spaces, Events, and Probability Measures; 1.3. Conditional Probability and Independence; 1.4. Random Variables; 1.5. Expectation; 1.6. The Variance; 1.7. Covariance and Correlation; 2. Special Discrete Distributions; 2.1. Introduction; 2.2. The Binomial Distribution; 2.3. The Hypergeometric Distribution; 2.4. The Geometric and Negative Binomial Distributions; 2.5. The Poisson Distribution; 3. Continuous Random Variables; 3.1. Introduction
3.2. Continuous Random Variables3.3. Expected Values and Variances for Continuous Random Variables; 3.4. Transformations of Random Variables; 3.5. Joint Densities; 3.6. Distributions of Functions of Continuous Random Variables; 4. Special Continuous Distributions; 4.1. Introduction; 4.2. The Normal Distribution; 4.3. The Gamma Distribution; 5. Conditional Distributions; 5.1. Introduction; 5.2. Conditional Expectations for Discrete Random Variables; 5.3. Conditional Densities and Expectations for Continuous Random Variables; 6. Moment Generating Functions and Limit Theory; 6.1. Introduction 6.2. Moment Generating Functions6.3. Convergence in Probability and in Distribution and the Weak Law of Large Numbers; 6.4. The Central Limit Theorem; 7. Estimation; 7.1. Introduction; 7.2. Point Estimation; 7.3. The Method of Moments; 7.4. Maximum Likelihood; 7.5. Consistency; 7.6. The δ-Method; 7.7. Confidence Intervals; 7.8. Fisher Information, Cramér-Rao Bound and Asymptotic Normality of MLEs; 7.9. Sufficiency; 8. Testing of Hypotheses; 8.1. Introduction; 8.2. The Neyman-Pearson Lemma; 8.3. The Likelihood Ratio Test 8.4. The p-Value and the Relationship between Tests of Hypotheses and Confidence Intervals9. The Multivariate Normal, Chi-Square, t, and F Distributions; 9.1. Introduction; 9.2. The Multivariate Normal Distribution; 9.3. The Central and Noncentral Chi-Square Distributions; 9.4. Student's t-Distribution; 9.5. The F-Distribution; 10. Nonparametric Statistics; 10.1. Introduction; 10.2. The Wilcoxon Test and Estimator; 10.3. One-Sample Methods; 10.4. The Kolmogorov-Smirnov Tests; 11. Linear Statistical Models; 11.1. Introduction; 11.2. The Principle of Least Squares; 11.3. Linear Models 11.4. F-Tests for H(0): θ = β(1)X(1) + · · · + β(k)X(k) V(0), a Subspace of V11.5. Two-Way Analysis of Variance; 12. Frequency Data; 12.1. Introduction; 12.2. Confidence Intervals on Binomial and Poisson Parameters; 12.3. Logistic Regression; 12.4. Two-Way Frequency Tables; 12.5. Chi-Square Goodness-of-Fit Tests; 13. Miscellaneous Topics; 13.1. Introduction; 13.2. Survival Analysis; 13.3. Bootstrapping; 13.4. Bayesian Statistics; 13.5. Sampling; References; Appendix; Answers to Selected Problems; Index |
| Record Nr. | UNINA-9910829927103321 |
|
Stapleton James H. <1931->
|
||
| Hoboken, N.J., : Wiley-Interscience, c2008 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Models for probability and statistical inference : theory and applications / / James H. Stapleton
| Models for probability and statistical inference : theory and applications / / James H. Stapleton |
| Autore | Stapleton James H. <1931-> |
| Pubbl/distr/stampa | Hoboken, N.J., : Wiley-Interscience, c2008 |
| Descrizione fisica | 1 online resource (466 p.) |
| Disciplina | 519.2 |
| Collana | Wiley series in probability and statistics |
| Soggetto topico |
Probabilities - Mathematical models
Probabilities - Industrial applications |
| ISBN |
1-281-22157-0
9786611221577 0-470-18341-1 0-470-18340-3 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Models for Probability and Statistical Inference; Contents; Preface; 1. Discrete Probability Models; 1.1. Introduction; 1.2. Sample Spaces, Events, and Probability Measures; 1.3. Conditional Probability and Independence; 1.4. Random Variables; 1.5. Expectation; 1.6. The Variance; 1.7. Covariance and Correlation; 2. Special Discrete Distributions; 2.1. Introduction; 2.2. The Binomial Distribution; 2.3. The Hypergeometric Distribution; 2.4. The Geometric and Negative Binomial Distributions; 2.5. The Poisson Distribution; 3. Continuous Random Variables; 3.1. Introduction
3.2. Continuous Random Variables3.3. Expected Values and Variances for Continuous Random Variables; 3.4. Transformations of Random Variables; 3.5. Joint Densities; 3.6. Distributions of Functions of Continuous Random Variables; 4. Special Continuous Distributions; 4.1. Introduction; 4.2. The Normal Distribution; 4.3. The Gamma Distribution; 5. Conditional Distributions; 5.1. Introduction; 5.2. Conditional Expectations for Discrete Random Variables; 5.3. Conditional Densities and Expectations for Continuous Random Variables; 6. Moment Generating Functions and Limit Theory; 6.1. Introduction 6.2. Moment Generating Functions6.3. Convergence in Probability and in Distribution and the Weak Law of Large Numbers; 6.4. The Central Limit Theorem; 7. Estimation; 7.1. Introduction; 7.2. Point Estimation; 7.3. The Method of Moments; 7.4. Maximum Likelihood; 7.5. Consistency; 7.6. The δ-Method; 7.7. Confidence Intervals; 7.8. Fisher Information, Cramér-Rao Bound and Asymptotic Normality of MLEs; 7.9. Sufficiency; 8. Testing of Hypotheses; 8.1. Introduction; 8.2. The Neyman-Pearson Lemma; 8.3. The Likelihood Ratio Test 8.4. The p-Value and the Relationship between Tests of Hypotheses and Confidence Intervals9. The Multivariate Normal, Chi-Square, t, and F Distributions; 9.1. Introduction; 9.2. The Multivariate Normal Distribution; 9.3. The Central and Noncentral Chi-Square Distributions; 9.4. Student's t-Distribution; 9.5. The F-Distribution; 10. Nonparametric Statistics; 10.1. Introduction; 10.2. The Wilcoxon Test and Estimator; 10.3. One-Sample Methods; 10.4. The Kolmogorov-Smirnov Tests; 11. Linear Statistical Models; 11.1. Introduction; 11.2. The Principle of Least Squares; 11.3. Linear Models 11.4. F-Tests for H(0): θ = β(1)X(1) + · · · + β(k)X(k) V(0), a Subspace of V11.5. Two-Way Analysis of Variance; 12. Frequency Data; 12.1. Introduction; 12.2. Confidence Intervals on Binomial and Poisson Parameters; 12.3. Logistic Regression; 12.4. Two-Way Frequency Tables; 12.5. Chi-Square Goodness-of-Fit Tests; 13. Miscellaneous Topics; 13.1. Introduction; 13.2. Survival Analysis; 13.3. Bootstrapping; 13.4. Bayesian Statistics; 13.5. Sampling; References; Appendix; Answers to Selected Problems; Index |
| Record Nr. | UNINA-9910876643603321 |
|
Stapleton James H. <1931->
|
||
| Hoboken, N.J., : Wiley-Interscience, c2008 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Probability, combinatorics and control / / edited by Andrey Kostogryzov and Victor Korolev
| Probability, combinatorics and control / / edited by Andrey Kostogryzov and Victor Korolev |
| Pubbl/distr/stampa | London, England : , : IntechOpen, , [2020] |
| Descrizione fisica | 1 online resource (334 pages) : illustrations |
| Disciplina | 511.6 |
| Soggetto topico |
Combinatorial analysis
Probabilities - Mathematical models |
| ISBN | 1-83880-104-9 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910409737503321 |
| London, England : , : IntechOpen, , [2020] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Probability, uncertainty and quantitative risk
| Probability, uncertainty and quantitative risk |
| Pubbl/distr/stampa | London : , : SpringerOpen, , 2016- |
| Descrizione fisica | 1 online resource |
| Disciplina |
519.2
EPUB |
| Soggetto topico |
Probabilities
Probabilities - Mathematical models Stochastic analysis Stochastic analysis - Mathematical models Finance - Risk management Quantitative research Probabilités Probabilités - Modèles mathématiques Analyse stochastique Analyse stochastique - Modèles mathématiques Finances - Gestion du risque Recherche quantitative |
| Soggetto genere / forma | Periodicals. |
| ISSN | 2367-0126 |
| Formato | Materiale a stampa |
| Livello bibliografico | Periodico |
| Lingua di pubblicazione | eng |
| Altri titoli varianti |
PUQR
Gai lü, bu que ding xing yu ding liang feng xian |
| Record Nr. | UNINA-9910211688103321 |
| London : , : SpringerOpen, , 2016- | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Probability, uncertainty and quantitative risk
| Probability, uncertainty and quantitative risk |
| Pubbl/distr/stampa | London : , : SpringerOpen, , 2016- |
| Descrizione fisica | 1 online resource |
| Disciplina |
519.2
EPUB |
| Soggetto topico |
Probabilities
Probabilities - Mathematical models Stochastic analysis Stochastic analysis - Mathematical models Finance - Risk management Quantitative research Probabilités Probabilités - Modèles mathématiques Analyse stochastique Analyse stochastique - Modèles mathématiques Finances - Gestion du risque Recherche quantitative |
| Soggetto genere / forma | Periodicals. |
| ISSN | 2367-0126 |
| Formato | Materiale a stampa |
| Livello bibliografico | Periodico |
| Lingua di pubblicazione | eng |
| Altri titoli varianti |
PUQR
Gai lü, bu que ding xing yu ding liang feng xian |
| Record Nr. | UNISA-996321240903316 |
| London : , : SpringerOpen, , 2016- | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
