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Applications of empirical process theory / Sara A. van de Geer
Applications of empirical process theory / Sara A. van de Geer
Autore Geer, Sara A. : van de
Pubbl/distr/stampa Cambridge ; New York : Cambridge University Press, 2000
Descrizione fisica xii, 286 p. ; 27 cm.
Disciplina 519.544
Collana Cambridge series in statistical and probabilistic mathematics
Soggetto topico Estimation theory
Limit theorems (Probability theory)
Nonparametric statistics
ISBN 052165002X
Classificazione AMS 62G05
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNISALENTO-991000688449707536
Geer, Sara A. : van de  
Cambridge ; New York : Cambridge University Press, 2000
Materiale a stampa
Lo trovi qui: Univ. del Salento
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Applied Probability Theory : new perspectives, recent advances and trends / / edited by Abdo Abou Jaoudé
Applied Probability Theory : new perspectives, recent advances and trends / / edited by Abdo Abou Jaoudé
Pubbl/distr/stampa London : , : IntechOpen, , 2023
Descrizione fisica 1 online resource (172 pages)
Disciplina 519.544
Soggetto topico Estimation theory
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910688354703321
London : , : IntechOpen, , 2023
Materiale a stampa
Lo trovi qui: Univ. Federico II
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Applied survey methods [[electronic resource] ] : a statistical perspective / / Jelke Bethlehem
Applied survey methods [[electronic resource] ] : a statistical perspective / / Jelke Bethlehem
Autore Bethlehem Jelke G
Pubbl/distr/stampa Hoboken, NJ, : Wiley, c2009
Descrizione fisica 1 online resource (394 p.)
Disciplina 001.4/33
519.5
Collana Wiley series in survey methodology
Soggetto topico Surveys - Statistical methods
Sampling (Statistics)
Surveys - Methodology
Estimation theory
Soggetto genere / forma Electronic books.
ISBN 1-282-13772-7
9786612137723
0-470-49499-9
0-470-49498-0
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Applied Survey Methods; Contents; Preface; 1. The Survey Process; 1.1. About Surveys; 1.2. A Survey, Step-by-Step; 1.3. Some History of Survey Research; 1.4. This Book; 1.5. Samplonia; Exercises; 2. Basic Concepts; 2.1. The Survey Objectives; 2.2. The Target Population; 2.3. The Sampling Frame; 2.4. Sampling; 2.5. Estimation; Exercises; 3. Questionnaire Design; 3.1. The Questionnaire; 3.2. Factual and Nonfactual Questions; 3.3. The Question Text; 3.4. Answer Types; 3.5. Question Order; 3.6. Questionnaire Testing; Exercises; 4. Single Sampling Designs; 4.1. Simple Random Sampling
4.2. Systematic Sampling4.3. Unequal Probability Sampling; 4.4. Systematic Sampling with Unequal Probabilities; Exercises; 5. Composite Sampling Designs; 5.1. Stratified Sampling; 5.2. Cluster Sampling; 5.3. Two-Stage Sampling; 5.4. Two-Dimensional Sampling; Exercises; 6. Estimators; 6.1. Use of Auxiliary Information; 6.2. A Descriptive Model; 6.3. The Direct Estimator; 6.4. The Ratio Estimator; 6.5. The Regression Estimator; 6.6. The Poststratification Estimator; Exercises; 7. Data Collection; 7.1. Traditional Data Collection; 7.2. Computer-Assisted Interviewing
7.3. Mixed-Mode Data Collection7.4. Electronic Questionnaires; 7.5. Data Collection with Blaise; Exercises; 8. The Quality of the Results; 8.1. Errors in Surveys; 8.2. Detection and Correction of Errors; 8.3. Imputation Techniques; 8.4. Data Editing Strategies; Exercises; 9. The Nonresponse Problem; 9.1. Nonresponse; 9.2. Response Rates; 9.3. Models for Nonresponse; 9.4. Analysis of Nonresponse; 9.5. Nonresponse Correction Techniques; Exercises; 10. Weighting Adjustment; 10.1. Introduction; 10.2. Poststratification; 10.3. Linear Weighting; 10.4. Multiplicative Weighting
10.5. Calibration Estimation10.6. Other Weighting Issues; 10.7. Use of Propensity Scores; 10.8. A Practical Example; Exercises; 11. Online Surveys; 11.1. The Popularity of Online Research; 11.2. Errors in Online Surveys; 11.3. The Theoretical Framework; 11.4. Correction by Adjustment Weighting; 11.5. Correction Using a Reference Survey; 11.6. Sampling the Non-Internet Population; 11.7. Propensity Weighting; 11.8. Simulating the Effects of Undercoverage; 11.9. Simulating the Effects of Self-Selection; 11.10. About the Use of Online Surveys; Exercises; 12. Analysis and Publication
12.1. About Data Analysis12.2. The Analysis of Dirty Data; 12.3. Preparing a Survey Report; 12.4. Use of Graphs; Exercises; 13. Statistical Disclosure Control; 13.1. Introduction; 13.2. The Basic Disclosure Problem; 13.3. The Concept of Uniqueness; 13.4. Disclosure Scenarios; 13.5. Models for the Disclosure Risk; 13.6. Practical Disclosure Protection; Exercises; References; Index
Record Nr. UNINA-9910143132203321
Bethlehem Jelke G  
Hoboken, NJ, : Wiley, c2009
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Applied survey methods [[electronic resource] ] : a statistical perspective / / Jelke Bethlehem
Applied survey methods [[electronic resource] ] : a statistical perspective / / Jelke Bethlehem
Autore Bethlehem Jelke G
Pubbl/distr/stampa Hoboken, NJ, : Wiley, c2009
Descrizione fisica 1 online resource (394 p.)
Disciplina 001.4/33
519.5
Collana Wiley series in survey methodology
Soggetto topico Surveys - Statistical methods
Sampling (Statistics)
Surveys - Methodology
Estimation theory
ISBN 1-282-13772-7
9786612137723
0-470-49499-9
0-470-49498-0
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Applied Survey Methods; Contents; Preface; 1. The Survey Process; 1.1. About Surveys; 1.2. A Survey, Step-by-Step; 1.3. Some History of Survey Research; 1.4. This Book; 1.5. Samplonia; Exercises; 2. Basic Concepts; 2.1. The Survey Objectives; 2.2. The Target Population; 2.3. The Sampling Frame; 2.4. Sampling; 2.5. Estimation; Exercises; 3. Questionnaire Design; 3.1. The Questionnaire; 3.2. Factual and Nonfactual Questions; 3.3. The Question Text; 3.4. Answer Types; 3.5. Question Order; 3.6. Questionnaire Testing; Exercises; 4. Single Sampling Designs; 4.1. Simple Random Sampling
4.2. Systematic Sampling4.3. Unequal Probability Sampling; 4.4. Systematic Sampling with Unequal Probabilities; Exercises; 5. Composite Sampling Designs; 5.1. Stratified Sampling; 5.2. Cluster Sampling; 5.3. Two-Stage Sampling; 5.4. Two-Dimensional Sampling; Exercises; 6. Estimators; 6.1. Use of Auxiliary Information; 6.2. A Descriptive Model; 6.3. The Direct Estimator; 6.4. The Ratio Estimator; 6.5. The Regression Estimator; 6.6. The Poststratification Estimator; Exercises; 7. Data Collection; 7.1. Traditional Data Collection; 7.2. Computer-Assisted Interviewing
7.3. Mixed-Mode Data Collection7.4. Electronic Questionnaires; 7.5. Data Collection with Blaise; Exercises; 8. The Quality of the Results; 8.1. Errors in Surveys; 8.2. Detection and Correction of Errors; 8.3. Imputation Techniques; 8.4. Data Editing Strategies; Exercises; 9. The Nonresponse Problem; 9.1. Nonresponse; 9.2. Response Rates; 9.3. Models for Nonresponse; 9.4. Analysis of Nonresponse; 9.5. Nonresponse Correction Techniques; Exercises; 10. Weighting Adjustment; 10.1. Introduction; 10.2. Poststratification; 10.3. Linear Weighting; 10.4. Multiplicative Weighting
10.5. Calibration Estimation10.6. Other Weighting Issues; 10.7. Use of Propensity Scores; 10.8. A Practical Example; Exercises; 11. Online Surveys; 11.1. The Popularity of Online Research; 11.2. Errors in Online Surveys; 11.3. The Theoretical Framework; 11.4. Correction by Adjustment Weighting; 11.5. Correction Using a Reference Survey; 11.6. Sampling the Non-Internet Population; 11.7. Propensity Weighting; 11.8. Simulating the Effects of Undercoverage; 11.9. Simulating the Effects of Self-Selection; 11.10. About the Use of Online Surveys; Exercises; 12. Analysis and Publication
12.1. About Data Analysis12.2. The Analysis of Dirty Data; 12.3. Preparing a Survey Report; 12.4. Use of Graphs; Exercises; 13. Statistical Disclosure Control; 13.1. Introduction; 13.2. The Basic Disclosure Problem; 13.3. The Concept of Uniqueness; 13.4. Disclosure Scenarios; 13.5. Models for the Disclosure Risk; 13.6. Practical Disclosure Protection; Exercises; References; Index
Record Nr. UNINA-9910830418303321
Bethlehem Jelke G  
Hoboken, NJ, : Wiley, c2009
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Applied survey methods : a statistical perspective / / Jelke Bethlehem
Applied survey methods : a statistical perspective / / Jelke Bethlehem
Autore Bethlehem Jelke G
Pubbl/distr/stampa Hoboken, NJ, : Wiley, c2009
Descrizione fisica 1 online resource (394 p.)
Disciplina 001.4/33
519.5
Collana Wiley series in survey methodology
Soggetto topico Surveys - Statistical methods
Sampling (Statistics)
Surveys - Methodology
Estimation theory
ISBN 1-282-13772-7
9786612137723
0-470-49499-9
0-470-49498-0
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Applied Survey Methods; Contents; Preface; 1. The Survey Process; 1.1. About Surveys; 1.2. A Survey, Step-by-Step; 1.3. Some History of Survey Research; 1.4. This Book; 1.5. Samplonia; Exercises; 2. Basic Concepts; 2.1. The Survey Objectives; 2.2. The Target Population; 2.3. The Sampling Frame; 2.4. Sampling; 2.5. Estimation; Exercises; 3. Questionnaire Design; 3.1. The Questionnaire; 3.2. Factual and Nonfactual Questions; 3.3. The Question Text; 3.4. Answer Types; 3.5. Question Order; 3.6. Questionnaire Testing; Exercises; 4. Single Sampling Designs; 4.1. Simple Random Sampling
4.2. Systematic Sampling4.3. Unequal Probability Sampling; 4.4. Systematic Sampling with Unequal Probabilities; Exercises; 5. Composite Sampling Designs; 5.1. Stratified Sampling; 5.2. Cluster Sampling; 5.3. Two-Stage Sampling; 5.4. Two-Dimensional Sampling; Exercises; 6. Estimators; 6.1. Use of Auxiliary Information; 6.2. A Descriptive Model; 6.3. The Direct Estimator; 6.4. The Ratio Estimator; 6.5. The Regression Estimator; 6.6. The Poststratification Estimator; Exercises; 7. Data Collection; 7.1. Traditional Data Collection; 7.2. Computer-Assisted Interviewing
7.3. Mixed-Mode Data Collection7.4. Electronic Questionnaires; 7.5. Data Collection with Blaise; Exercises; 8. The Quality of the Results; 8.1. Errors in Surveys; 8.2. Detection and Correction of Errors; 8.3. Imputation Techniques; 8.4. Data Editing Strategies; Exercises; 9. The Nonresponse Problem; 9.1. Nonresponse; 9.2. Response Rates; 9.3. Models for Nonresponse; 9.4. Analysis of Nonresponse; 9.5. Nonresponse Correction Techniques; Exercises; 10. Weighting Adjustment; 10.1. Introduction; 10.2. Poststratification; 10.3. Linear Weighting; 10.4. Multiplicative Weighting
10.5. Calibration Estimation10.6. Other Weighting Issues; 10.7. Use of Propensity Scores; 10.8. A Practical Example; Exercises; 11. Online Surveys; 11.1. The Popularity of Online Research; 11.2. Errors in Online Surveys; 11.3. The Theoretical Framework; 11.4. Correction by Adjustment Weighting; 11.5. Correction Using a Reference Survey; 11.6. Sampling the Non-Internet Population; 11.7. Propensity Weighting; 11.8. Simulating the Effects of Undercoverage; 11.9. Simulating the Effects of Self-Selection; 11.10. About the Use of Online Surveys; Exercises; 12. Analysis and Publication
12.1. About Data Analysis12.2. The Analysis of Dirty Data; 12.3. Preparing a Survey Report; 12.4. Use of Graphs; Exercises; 13. Statistical Disclosure Control; 13.1. Introduction; 13.2. The Basic Disclosure Problem; 13.3. The Concept of Uniqueness; 13.4. Disclosure Scenarios; 13.5. Models for the Disclosure Risk; 13.6. Practical Disclosure Protection; Exercises; References; Index
Record Nr. UNINA-9910877362503321
Bethlehem Jelke G  
Hoboken, NJ, : Wiley, c2009
Materiale a stampa
Lo trovi qui: Univ. Federico II
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Approximate tests of independence in contingency tables from complex stratified cluster samples / / Gad Nathan
Approximate tests of independence in contingency tables from complex stratified cluster samples / / Gad Nathan
Pubbl/distr/stampa Rockville, Md. : , : U.S. Department of Health, Education, and Welfare, Public Health Service, Health Services and Mental Health Administration, National Center for Health Statistics, , 1973
Descrizione fisica 1 online resource (v, 14 pages)
Collana Vital and health statistics. Series 2, Data evaluation and methods research
DHEW publication
Soggetto topico Estimation theory
Sampling (Statistics)
Monte Carlo method
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910713424403321
Rockville, Md. : , : U.S. Department of Health, Education, and Welfare, Public Health Service, Health Services and Mental Health Administration, National Center for Health Statistics, , 1973
Materiale a stampa
Lo trovi qui: Univ. Federico II
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The art of insight in science and engineering : mastering complexity / / Sanjoy Mahajan
The art of insight in science and engineering : mastering complexity / / Sanjoy Mahajan
Autore Mahajan Sanjoy <1969->
Pubbl/distr/stampa Cambridge, Massachusetts : , : The MIT Press, , [2014]
Descrizione fisica 1 online resource (409 p.)
Disciplina 501/.9
Soggetto topico Statistical physics
Estimation theory
Hypothesis
Problem solving
Soggetto non controllato PHYSICAL SCIENCES/General
ENGINEERING/General
MATHEMATICS & STATISTICS/General
SCIENCE / Applied Sciences
TECHNOLOGY & ENGINEERING / Engineering (General)
MATHEMATICS / Applied
ISBN 0-262-32524-1
0-262-32523-3
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910260595203321
Mahajan Sanjoy <1969->  
Cambridge, Massachusetts : , : The MIT Press, , [2014]
Materiale a stampa
Lo trovi qui: Univ. Federico II
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Assessing the food security and diet quality impacts of FNS program participation [[electronic resource] ] : final report / / prepared by Nancy R. Burstein ... [and others]
Assessing the food security and diet quality impacts of FNS program participation [[electronic resource] ] : final report / / prepared by Nancy R. Burstein ... [and others]
Pubbl/distr/stampa Alexandria, VA : , : USDA/FNS Office of Analysis, Nutrition, and Evaluation, , [2005]
Descrizione fisica 168 pages, 8 unnumbered pages : digital, PDF file
Altri autori (Persone) BursteinNancy R
Soggetto topico Food relief - United States - Evaluation - Methodology
Estimation theory
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Altri titoli varianti Assessing the food security and diet quality impacts of FNS program participation
Record Nr. UNINA-9910697461703321
Alexandria, VA : , : USDA/FNS Office of Analysis, Nutrition, and Evaluation, , [2005]
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Asymptotic efficiency of statistical estimators : concepts and higher order asymptotic efficiency / Masafumi Akahira, Kei Takeuchi
Asymptotic efficiency of statistical estimators : concepts and higher order asymptotic efficiency / Masafumi Akahira, Kei Takeuchi
Autore Akahira, Masafumi
Pubbl/distr/stampa New York : Springer-Verlag, 1981
Descrizione fisica 282 p. ; 23 cm.
Disciplina 519.544
Altri autori (Persone) Takeuchi, Keiauthor
Soggetto topico Asymptotic efficiencies
Estimation theory
ISBN 0387905766
Classificazione AMS 62F
AMS 62F10
AMS 62F25
QA276.14.E5
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNISALENTO-991000703249707536
Akahira, Masafumi  
New York : Springer-Verlag, 1981
Materiale a stampa
Lo trovi qui: Univ. del Salento
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Asymptotic optimal inference for non-ergodic models / Ishwar V. Basawa, David John Scott
Asymptotic optimal inference for non-ergodic models / Ishwar V. Basawa, David John Scott
Autore Basawa, Ishwar V.
Pubbl/distr/stampa New York : Springer-Verlag, c1983
Descrizione fisica ix, 170 p. ; 24 cm.
Disciplina 519.544
Altri autori (Persone) Scott, David Johnauthor
Collana Lecture notes in statistics ; 17
Soggetto topico Asymptotic efficiencies
Ergodic theory
Estimation theory
Nonparametric inference
ISBN 0387908102
Classificazione AMS 62G99
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNISALENTO-991000704159707536
Basawa, Ishwar V.  
New York : Springer-Verlag, c1983
Materiale a stampa
Lo trovi qui: Univ. del Salento
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