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Biblioteca

MARC Lista (tabellare)
Agricultural and Mineral Commodities Year Book
Agricultural and Mineral Commodities Year Book
Pubbl/distr/stampa New York, : Routledge, Nov. 2002
Descrizione fisica 1 online resource (379 p.)
Disciplina 338.1
382
Soggetto topico Commercial statistics
Farm produce
Mineral industries
Primary commodities
Produce trade
Soggetto genere / forma Electronic books.
ISBN 1-135-35611-4
1-280-06426-9
9786610064267
0-203-40355-X
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Book Cover; Half-Title; Title; Copyright; Foreword; Acknowledgements; Contents; Abbreviations; The Contributors; PART ONE Introduction; Agricultural Commodity Trade in International Relations; Introduction; The Case for Freer International Trade; Agriculture in the GATT/WTO; The Roots of the (Intractable) Problem; The Current State of Play; Summary and Conclusions; Bibliography and References; Developments in World Mineral and Energy Markets; Introduction; Market Trends; Energy Supply: A Global Challenge; Exploration and Production; Industry Consolidation; International Issues
The Kyoto ProtocolConclusion; Food Security and the WTO Agreement on Agriculture; Defining Food Security; State of Affairs; Food Security-A Development Problem; Trade, Food Security and the WTO-Understanding the Linkages; Features of the AoA; Food Security and the AoA-Issues of Concern; Bibliography and References; PART TWO Commodity Surveys; Aluminium and Bauxite; Banana; Barley; Cassava; Chromium; Coal; Cobalt; Cocoa; Coconut; Coffee; Copper; Cotton; Diamonds; Gold; Groundnut; Iron Ore; Jute; Lead; Maize; Manganese; Millet and Sorghum; Natural Gas; Nickel; Oil Palm; Petroleum; Phosphates
PlatinumRice; Rubber; Silver; Sisal; Soybeans; Sugar; Tea; Tin; Tobacco; Uranium; Wheat; Wool; Zinc; PART THREE Major Commodity Organizations; Major Commodity Organizations
Record Nr. UNINA-9910449999603321
New York, : Routledge, Nov. 2002
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Agricultural and Mineral Commodities Year Book
Agricultural and Mineral Commodities Year Book
Pubbl/distr/stampa New York, : Routledge, Nov. 2002
Descrizione fisica 1 online resource (379 p.)
Disciplina 338.1
382
Soggetto topico Commercial statistics
Farm produce
Mineral industries
Primary commodities
Produce trade
ISBN 1-135-35611-4
1-280-06426-9
9786610064267
0-203-40355-X
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Book Cover; Half-Title; Title; Copyright; Foreword; Acknowledgements; Contents; Abbreviations; The Contributors; PART ONE Introduction; Agricultural Commodity Trade in International Relations; Introduction; The Case for Freer International Trade; Agriculture in the GATT/WTO; The Roots of the (Intractable) Problem; The Current State of Play; Summary and Conclusions; Bibliography and References; Developments in World Mineral and Energy Markets; Introduction; Market Trends; Energy Supply: A Global Challenge; Exploration and Production; Industry Consolidation; International Issues
The Kyoto ProtocolConclusion; Food Security and the WTO Agreement on Agriculture; Defining Food Security; State of Affairs; Food Security-A Development Problem; Trade, Food Security and the WTO-Understanding the Linkages; Features of the AoA; Food Security and the AoA-Issues of Concern; Bibliography and References; PART TWO Commodity Surveys; Aluminium and Bauxite; Banana; Barley; Cassava; Chromium; Coal; Cobalt; Cocoa; Coconut; Coffee; Copper; Cotton; Diamonds; Gold; Groundnut; Iron Ore; Jute; Lead; Maize; Manganese; Millet and Sorghum; Natural Gas; Nickel; Oil Palm; Petroleum; Phosphates
PlatinumRice; Rubber; Silver; Sisal; Soybeans; Sugar; Tea; Tin; Tobacco; Uranium; Wheat; Wool; Zinc; PART THREE Major Commodity Organizations; Major Commodity Organizations
Record Nr. UNINA-9910783637703321
New York, : Routledge, Nov. 2002
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Agricultural and Mineral Commodities Year Book
Agricultural and Mineral Commodities Year Book
Edizione [1st ed.]
Pubbl/distr/stampa New York, : Routledge, Nov. 2002
Descrizione fisica 1 online resource (379 p.)
Disciplina 338.1
382
Soggetto topico Commercial statistics
Farm produce
Mineral industries
Primary commodities
Produce trade
ISBN 1-135-35611-4
1-280-06426-9
9786610064267
0-203-40355-X
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Book Cover; Half-Title; Title; Copyright; Foreword; Acknowledgements; Contents; Abbreviations; The Contributors; PART ONE Introduction; Agricultural Commodity Trade in International Relations; Introduction; The Case for Freer International Trade; Agriculture in the GATT/WTO; The Roots of the (Intractable) Problem; The Current State of Play; Summary and Conclusions; Bibliography and References; Developments in World Mineral and Energy Markets; Introduction; Market Trends; Energy Supply: A Global Challenge; Exploration and Production; Industry Consolidation; International Issues
The Kyoto ProtocolConclusion; Food Security and the WTO Agreement on Agriculture; Defining Food Security; State of Affairs; Food Security-A Development Problem; Trade, Food Security and the WTO-Understanding the Linkages; Features of the AoA; Food Security and the AoA-Issues of Concern; Bibliography and References; PART TWO Commodity Surveys; Aluminium and Bauxite; Banana; Barley; Cassava; Chromium; Coal; Cobalt; Cocoa; Coconut; Coffee; Copper; Cotton; Diamonds; Gold; Groundnut; Iron Ore; Jute; Lead; Maize; Manganese; Millet and Sorghum; Natural Gas; Nickel; Oil Palm; Petroleum; Phosphates
PlatinumRice; Rubber; Silver; Sisal; Soybeans; Sugar; Tea; Tin; Tobacco; Uranium; Wheat; Wool; Zinc; PART THREE Major Commodity Organizations; Major Commodity Organizations
Record Nr. UNINA-9910825904803321
New York, : Routledge, Nov. 2002
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Applied data mining for business and industry [[electronic resource] /] / Paolo Giudici, Silvia Figini
Applied data mining for business and industry [[electronic resource] /] / Paolo Giudici, Silvia Figini
Autore Giudici Paolo
Edizione [2nd ed.]
Pubbl/distr/stampa Hoboken, NJ, : John Wiley, 2009
Descrizione fisica 1 online resource (259 p.)
Disciplina 005.74068
006.312
Altri autori (Persone) FiginiSilvia
Soggetto topico Data mining
Business - Data processing
Commercial statistics
Soggetto genere / forma Electronic books.
ISBN 1-282-12369-6
9786612123696
0-470-05886-2
0-470-74583-5
0-470-74582-7
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Applied Data Mining for Business and Industry; Contents; 1 Introduction; Part I Methodology; 2 Organisation of the data; 2.1 Statistical units and statistical variables; 2.2 Data matrices and their transformations; 2.3 Complex data structures; 2.4 Summary; 3 Summary statistics; 3.1 Univariate exploratory analysis; 3.1.1 Measures of location; 3.1.2 Measures of variability; 3.1.3 Measures of heterogeneity; 3.1.4 Measures of concentration; 3.1.5 Measures of asymmetry; 3.1.6 Measures of kurtosis; 3.2 Bivariate exploratory analysis of quantitative data
3.3 Multivariate exploratory analysis of quantitative data3.4 Multivariate exploratory analysis of qualitative data; 3.4.1 Independence and association; 3.4.2 Distance measures; 3.4.3 Dependency measures; 3.4.4 Model-based measures; 3.5 Reduction of dimensionality; 3.5.1 Interpretation of the principal components; 3.6 Further reading; 4 Model specification; 4.1 Measures of distance; 4.1.1 Euclidean distance; 4.1.2 Similarity measures; 4.1.3 Multidimensional scaling; 4.2 Cluster analysis; 4.2.1 Hierarchical methods; 4.2.2 Evaluation of hierarchical methods; 4.2.3 Non-hierarchical methods
4.3 Linear regression4.3.1 Bivariate linear regression; 4.3.2 Properties of the residuals; 4.3.3 Goodness of fit; 4.3.4 Multiple linear regression; 4.4 Logistic regression; 4.4.1 Interpretation of logistic regression; 4.4.2 Discriminant analysis; 4.5 Tree models; 4.5.1 Division criteria; 4.5.2 Pruning; 4.6 Neural networks; 4.6.1 Architecture of a neural network; 4.6.2 The multilayer perceptron; 4.6.3 Kohonen networks; 4.7 Nearest-neighbour models; 4.8 Local models; 4.8.1 Association rules; 4.8.2 Retrieval by content; 4.9 Uncertainty measures and inference; 4.9.1 Probability
4.9.2 Statistical models4.9.3 Statistical inference; 4.10 Non-parametric modelling; 4.11 The normal linear model; 4.11.1 Main inferential results; 4.12 Generalised linear models; 4.12.1 The exponential family; 4.12.2 Definition of generalised linear models; 4.12.3 The logistic regression model; 4.13 Log-linear models; 4.13.1 Construction of a log-linear model; 4.13.2 Interpretation of a log-linear model; 4.13.3 Graphical log-linear models; 4.13.4 Log-linear model comparison; 4.14 Graphical models; 4.14.1 Symmetric graphical models; 4.14.2 Recursive graphical models
4.14.3 Graphical models and neural networks4.15 Survival analysis models; 4.16 Further reading; 5 Model evaluation; 5.1 Criteria based on statistical tests; 5.1.1 Distance between statistical models; 5.1.2 Discrepancy of a statistical model; 5.1.3 Kullback-Leibler discrepancy; 5.2 Criteria based on scoring functions; 5.3 Bayesian criteria; 5.4 Computational criteria; 5.5 Criteria based on loss functions; 5.6 Further reading; Part II Business case studies; 6 Describing website visitors; 6.1 Objectives of the analysis; 6.2 Description of the data; 6.3 Exploratory analysis; 6.4 Model building
6.4.1 Cluster analysis
Record Nr. UNINA-9910146147203321
Giudici Paolo  
Hoboken, NJ, : John Wiley, 2009
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Applied data mining for business and industry [[electronic resource] /] / Paolo Giudici, Silvia Figini
Applied data mining for business and industry [[electronic resource] /] / Paolo Giudici, Silvia Figini
Autore Giudici Paolo
Edizione [2nd ed.]
Pubbl/distr/stampa Hoboken, NJ, : John Wiley, 2009
Descrizione fisica 1 online resource (259 p.)
Disciplina 005.74068
006.312
Altri autori (Persone) FiginiSilvia
Soggetto topico Data mining
Business - Data processing
Commercial statistics
ISBN 1-282-12369-6
9786612123696
0-470-05886-2
0-470-74583-5
0-470-74582-7
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Applied Data Mining for Business and Industry; Contents; 1 Introduction; Part I Methodology; 2 Organisation of the data; 2.1 Statistical units and statistical variables; 2.2 Data matrices and their transformations; 2.3 Complex data structures; 2.4 Summary; 3 Summary statistics; 3.1 Univariate exploratory analysis; 3.1.1 Measures of location; 3.1.2 Measures of variability; 3.1.3 Measures of heterogeneity; 3.1.4 Measures of concentration; 3.1.5 Measures of asymmetry; 3.1.6 Measures of kurtosis; 3.2 Bivariate exploratory analysis of quantitative data
3.3 Multivariate exploratory analysis of quantitative data3.4 Multivariate exploratory analysis of qualitative data; 3.4.1 Independence and association; 3.4.2 Distance measures; 3.4.3 Dependency measures; 3.4.4 Model-based measures; 3.5 Reduction of dimensionality; 3.5.1 Interpretation of the principal components; 3.6 Further reading; 4 Model specification; 4.1 Measures of distance; 4.1.1 Euclidean distance; 4.1.2 Similarity measures; 4.1.3 Multidimensional scaling; 4.2 Cluster analysis; 4.2.1 Hierarchical methods; 4.2.2 Evaluation of hierarchical methods; 4.2.3 Non-hierarchical methods
4.3 Linear regression4.3.1 Bivariate linear regression; 4.3.2 Properties of the residuals; 4.3.3 Goodness of fit; 4.3.4 Multiple linear regression; 4.4 Logistic regression; 4.4.1 Interpretation of logistic regression; 4.4.2 Discriminant analysis; 4.5 Tree models; 4.5.1 Division criteria; 4.5.2 Pruning; 4.6 Neural networks; 4.6.1 Architecture of a neural network; 4.6.2 The multilayer perceptron; 4.6.3 Kohonen networks; 4.7 Nearest-neighbour models; 4.8 Local models; 4.8.1 Association rules; 4.8.2 Retrieval by content; 4.9 Uncertainty measures and inference; 4.9.1 Probability
4.9.2 Statistical models4.9.3 Statistical inference; 4.10 Non-parametric modelling; 4.11 The normal linear model; 4.11.1 Main inferential results; 4.12 Generalised linear models; 4.12.1 The exponential family; 4.12.2 Definition of generalised linear models; 4.12.3 The logistic regression model; 4.13 Log-linear models; 4.13.1 Construction of a log-linear model; 4.13.2 Interpretation of a log-linear model; 4.13.3 Graphical log-linear models; 4.13.4 Log-linear model comparison; 4.14 Graphical models; 4.14.1 Symmetric graphical models; 4.14.2 Recursive graphical models
4.14.3 Graphical models and neural networks4.15 Survival analysis models; 4.16 Further reading; 5 Model evaluation; 5.1 Criteria based on statistical tests; 5.1.1 Distance between statistical models; 5.1.2 Discrepancy of a statistical model; 5.1.3 Kullback-Leibler discrepancy; 5.2 Criteria based on scoring functions; 5.3 Bayesian criteria; 5.4 Computational criteria; 5.5 Criteria based on loss functions; 5.6 Further reading; Part II Business case studies; 6 Describing website visitors; 6.1 Objectives of the analysis; 6.2 Description of the data; 6.3 Exploratory analysis; 6.4 Model building
6.4.1 Cluster analysis
Record Nr. UNINA-9910830379703321
Giudici Paolo  
Hoboken, NJ, : John Wiley, 2009
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Applied data mining for business and industry [[electronic resource] /] / Paolo Giudici, Silvia Figini
Applied data mining for business and industry [[electronic resource] /] / Paolo Giudici, Silvia Figini
Autore Giudici Paolo
Edizione [2nd ed.]
Pubbl/distr/stampa Hoboken, NJ, : John Wiley, 2009
Descrizione fisica 1 online resource (259 p.)
Disciplina 005.74068
006.312
Altri autori (Persone) FiginiSilvia
Soggetto topico Data mining
Business - Data processing
Commercial statistics
ISBN 1-282-12369-6
9786612123696
0-470-05886-2
0-470-74583-5
0-470-74582-7
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Applied Data Mining for Business and Industry; Contents; 1 Introduction; Part I Methodology; 2 Organisation of the data; 2.1 Statistical units and statistical variables; 2.2 Data matrices and their transformations; 2.3 Complex data structures; 2.4 Summary; 3 Summary statistics; 3.1 Univariate exploratory analysis; 3.1.1 Measures of location; 3.1.2 Measures of variability; 3.1.3 Measures of heterogeneity; 3.1.4 Measures of concentration; 3.1.5 Measures of asymmetry; 3.1.6 Measures of kurtosis; 3.2 Bivariate exploratory analysis of quantitative data
3.3 Multivariate exploratory analysis of quantitative data3.4 Multivariate exploratory analysis of qualitative data; 3.4.1 Independence and association; 3.4.2 Distance measures; 3.4.3 Dependency measures; 3.4.4 Model-based measures; 3.5 Reduction of dimensionality; 3.5.1 Interpretation of the principal components; 3.6 Further reading; 4 Model specification; 4.1 Measures of distance; 4.1.1 Euclidean distance; 4.1.2 Similarity measures; 4.1.3 Multidimensional scaling; 4.2 Cluster analysis; 4.2.1 Hierarchical methods; 4.2.2 Evaluation of hierarchical methods; 4.2.3 Non-hierarchical methods
4.3 Linear regression4.3.1 Bivariate linear regression; 4.3.2 Properties of the residuals; 4.3.3 Goodness of fit; 4.3.4 Multiple linear regression; 4.4 Logistic regression; 4.4.1 Interpretation of logistic regression; 4.4.2 Discriminant analysis; 4.5 Tree models; 4.5.1 Division criteria; 4.5.2 Pruning; 4.6 Neural networks; 4.6.1 Architecture of a neural network; 4.6.2 The multilayer perceptron; 4.6.3 Kohonen networks; 4.7 Nearest-neighbour models; 4.8 Local models; 4.8.1 Association rules; 4.8.2 Retrieval by content; 4.9 Uncertainty measures and inference; 4.9.1 Probability
4.9.2 Statistical models4.9.3 Statistical inference; 4.10 Non-parametric modelling; 4.11 The normal linear model; 4.11.1 Main inferential results; 4.12 Generalised linear models; 4.12.1 The exponential family; 4.12.2 Definition of generalised linear models; 4.12.3 The logistic regression model; 4.13 Log-linear models; 4.13.1 Construction of a log-linear model; 4.13.2 Interpretation of a log-linear model; 4.13.3 Graphical log-linear models; 4.13.4 Log-linear model comparison; 4.14 Graphical models; 4.14.1 Symmetric graphical models; 4.14.2 Recursive graphical models
4.14.3 Graphical models and neural networks4.15 Survival analysis models; 4.16 Further reading; 5 Model evaluation; 5.1 Criteria based on statistical tests; 5.1.1 Distance between statistical models; 5.1.2 Discrepancy of a statistical model; 5.1.3 Kullback-Leibler discrepancy; 5.2 Criteria based on scoring functions; 5.3 Bayesian criteria; 5.4 Computational criteria; 5.5 Criteria based on loss functions; 5.6 Further reading; Part II Business case studies; 6 Describing website visitors; 6.1 Objectives of the analysis; 6.2 Description of the data; 6.3 Exploratory analysis; 6.4 Model building
6.4.1 Cluster analysis
Record Nr. UNINA-9910840898403321
Giudici Paolo  
Hoboken, NJ, : John Wiley, 2009
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Applied statistics for business and economics / / by Robert M. Leekley
Applied statistics for business and economics / / by Robert M. Leekley
Autore Leekley Robert M.
Edizione [First edition.]
Pubbl/distr/stampa Boca Raton, FL : , : CRC Press, an imprint of Taylor and Francis, , 2010
Descrizione fisica 1 online resource (498 p.)
Disciplina 519.5
Soggetto topico Commercial statistics
Economics - Statistical methods
Soggetto genere / forma Electronic books.
ISBN 0-429-18483-2
1-4398-8281-9
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Front cover; Contents; Preface; Acknowledgments; Author; Chapter 1. Introduction toStatistics; Chapter 2. Describing Data: Tables and Graphs; Chapter 3. Describing Data: Summary Statistics; Chapter 4. Basic Probability; Chapter 5. Probability Distributions; Chapter 6. Sampling and Sampling Distributions; Chapter 7. Estimation and Confidence Intervals; Chapter 8. Tests of Hypotheses: One-Sample Tests; Chapter 9. Tests of Hypotheses: Two-Sample Tests; Chapter 10. Tests of Hypotheses: Contingency and Goodness-of-Fit; Chapter 11. Tests of Hypotheses: ANOVA and Tests of Variances
Chapter 12. Simple Regression and CorrelationChapter 13. Multiple Regression; Chapter 14. Time-Series Analysis; Appendix A; Appendix B: Answers to Odd-Numbered Exercises; Appendix C; Index; Back cover
Record Nr. UNINA-9910460746803321
Leekley Robert M.  
Boca Raton, FL : , : CRC Press, an imprint of Taylor and Francis, , 2010
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Applied statistics for business and economics / / by Robert M. Leekley
Applied statistics for business and economics / / by Robert M. Leekley
Autore Leekley Robert M.
Edizione [First edition.]
Pubbl/distr/stampa Boca Raton, FL : , : CRC Press, an imprint of Taylor and Francis, , 2010
Descrizione fisica 1 online resource (498 p.)
Disciplina 519.5
Soggetto topico Commercial statistics
Economics - Statistical methods
ISBN 0-429-18483-2
1-4398-8281-9
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Front cover; Contents; Preface; Acknowledgments; Author; Chapter 1. Introduction toStatistics; Chapter 2. Describing Data: Tables and Graphs; Chapter 3. Describing Data: Summary Statistics; Chapter 4. Basic Probability; Chapter 5. Probability Distributions; Chapter 6. Sampling and Sampling Distributions; Chapter 7. Estimation and Confidence Intervals; Chapter 8. Tests of Hypotheses: One-Sample Tests; Chapter 9. Tests of Hypotheses: Two-Sample Tests; Chapter 10. Tests of Hypotheses: Contingency and Goodness-of-Fit; Chapter 11. Tests of Hypotheses: ANOVA and Tests of Variances
Chapter 12. Simple Regression and CorrelationChapter 13. Multiple Regression; Chapter 14. Time-Series Analysis; Appendix A; Appendix B: Answers to Odd-Numbered Exercises; Appendix C; Index; Back cover
Record Nr. UNINA-9910797025303321
Leekley Robert M.  
Boca Raton, FL : , : CRC Press, an imprint of Taylor and Francis, , 2010
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Applied statistics for business and economics / / by Robert M. Leekley
Applied statistics for business and economics / / by Robert M. Leekley
Autore Leekley Robert M.
Edizione [First edition.]
Pubbl/distr/stampa Boca Raton, FL : , : CRC Press, an imprint of Taylor and Francis, , 2010
Descrizione fisica 1 online resource (498 p.)
Disciplina 519.5
Soggetto topico Commercial statistics
Economics - Statistical methods
ISBN 0-429-18483-2
1-4398-8281-9
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Front cover; Contents; Preface; Acknowledgments; Author; Chapter 1. Introduction toStatistics; Chapter 2. Describing Data: Tables and Graphs; Chapter 3. Describing Data: Summary Statistics; Chapter 4. Basic Probability; Chapter 5. Probability Distributions; Chapter 6. Sampling and Sampling Distributions; Chapter 7. Estimation and Confidence Intervals; Chapter 8. Tests of Hypotheses: One-Sample Tests; Chapter 9. Tests of Hypotheses: Two-Sample Tests; Chapter 10. Tests of Hypotheses: Contingency and Goodness-of-Fit; Chapter 11. Tests of Hypotheses: ANOVA and Tests of Variances
Chapter 12. Simple Regression and CorrelationChapter 13. Multiple Regression; Chapter 14. Time-Series Analysis; Appendix A; Appendix B: Answers to Odd-Numbered Exercises; Appendix C; Index; Back cover
Record Nr. UNINA-9910811864603321
Leekley Robert M.  
Boca Raton, FL : , : CRC Press, an imprint of Taylor and Francis, , 2010
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Applied stochastic models in business and industry
Applied stochastic models in business and industry
Pubbl/distr/stampa [Chichester], : John Wiley & Sons, ©1999-
Descrizione fisica 1 online resource
Disciplina 519
Soggetto topico Stochastic analysis
Stochastic processes
Business mathematics
Finance - Mathematical models
Industrial management - Mathematical models
Industrial statistics
Commercial statistics
Analyse stochastique
Processus stochastiques
Statistique industrielle
Statistique commerciale
Mathématiques financières
Finances - Modèles mathématiques
Gestion d'entreprise - Modèles mathématiques
Business (General)
Decision Science
Stochastic Processes
Industrial Management
Soggetto genere / forma Periodicals.
Soggetto non controllato Mathematical Statistics
ISSN 1526-4025
Formato Materiale a stampa
Livello bibliografico Periodico
Lingua di pubblicazione eng
Record Nr. UNINA-9910139448503321
[Chichester], : John Wiley & Sons, ©1999-
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui