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Introduction to ecological sampling / / edited by Bryan F.J. Manly, Western EcoSystem Technology, Incorporated, Laramie, Wyoming, USA; Jorge A. Navarro Alberto, Universidad Autonoma de Yucatn, Merida, Mexico
Introduction to ecological sampling / / edited by Bryan F.J. Manly, Western EcoSystem Technology, Incorporated, Laramie, Wyoming, USA; Jorge A. Navarro Alberto, Universidad Autonoma de Yucatn, Merida, Mexico
Edizione [1st ed.]
Pubbl/distr/stampa Boca Raton : , : CRC Press, , [2015]
Descrizione fisica 1 online resource (218 p.)
Disciplina 570.723
Collana Chapman and Hall/CRC Applied Environmental Statistics
Soggetto topico Ecology - Statistical methods
Sampling (Statistics)
ISBN 1-04-005926-0
0-429-09901-0
1-4665-5514-9
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Front Cover; Contents; Preface; About the Editors; Contributors; Chapter 1: Introduction; Chapter 2: Standard Sampling Methods and Analyses; Chapter 3: Adaptive Sampling Methods; Chapter 4: Line Transect Sampling; Chapter 5: Removal and Change-in-Ratio Methods; Chapter 6: Plotless Sampling; Chapter 7: Introduction to Mark-Recapture Sampling and Closed-Population Models; Chapter 8: Open-Population Mark-Recapture Models; Chapter 9: Occupancy Models; Chapter 10: Sampling Designs for Environmental Monitoring; Chapter 11: Models for Trend Analysis; References; Back Cover
Record Nr. UNINA-9910823470603321
Boca Raton : , : CRC Press, , [2015]
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Introduction to empirical processes and semiparametric inference [[electronic resource] /] / Michael R. Kosorok
Introduction to empirical processes and semiparametric inference [[electronic resource] /] / Michael R. Kosorok
Autore Kosorok Michael R
Edizione [1st ed. 2008.]
Pubbl/distr/stampa New York, : Springer, c2008
Descrizione fisica 1 online resource (495 p.)
Disciplina 519.2/3
Collana Springer Series in Statistics
Soggetto topico Stochastic processes
Sampling (Statistics)
Probabilities
Estimation theory
Convergence
Soggetto genere / forma Electronic books.
ISBN 1-281-21679-8
9786611216795
0-387-74978-0
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Overview -- An Overview of Empirical Processes -- Overview of Semiparametric Inference -- Case Studies I -- Empirical Processes -- to Empirical Processes -- Preliminaries for Empirical Processes -- Stochastic Convergence -- Empirical Process Methods -- Entropy Calculations -- Bootstrapping Empirical Processes -- Additional Empirical Process Results -- The Functional Delta Method -- Z-Estimators -- M-Estimators -- Case Studies II -- Semiparametric Inference -- to Semiparametric Inference -- Preliminaries for Semiparametric Inference -- Semiparametric Models and Efficiency -- Efficient Inference for Finite-Dimensional Parameters -- Efficient Inference for Infinite-Dimensional Parameters -- Semiparametric M-Estimation -- Case Studies III.
Record Nr. UNINA-9910458505003321
Kosorok Michael R  
New York, : Springer, c2008
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Introduction to empirical processes and semiparametric inference [[electronic resource] /] / Michael R. Kosorok
Introduction to empirical processes and semiparametric inference [[electronic resource] /] / Michael R. Kosorok
Autore Kosorok Michael R
Edizione [1st ed. 2008.]
Pubbl/distr/stampa New York, : Springer, c2008
Descrizione fisica 1 online resource (495 p.)
Disciplina 519.2/3
Collana Springer Series in Statistics
Soggetto topico Stochastic processes
Sampling (Statistics)
Probabilities
Estimation theory
Convergence
ISBN 1-281-21679-8
9786611216795
0-387-74978-0
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Overview -- An Overview of Empirical Processes -- Overview of Semiparametric Inference -- Case Studies I -- Empirical Processes -- to Empirical Processes -- Preliminaries for Empirical Processes -- Stochastic Convergence -- Empirical Process Methods -- Entropy Calculations -- Bootstrapping Empirical Processes -- Additional Empirical Process Results -- The Functional Delta Method -- Z-Estimators -- M-Estimators -- Case Studies II -- Semiparametric Inference -- to Semiparametric Inference -- Preliminaries for Semiparametric Inference -- Semiparametric Models and Efficiency -- Efficient Inference for Finite-Dimensional Parameters -- Efficient Inference for Infinite-Dimensional Parameters -- Semiparametric M-Estimation -- Case Studies III.
Record Nr. UNINA-9910784856603321
Kosorok Michael R  
New York, : Springer, c2008
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Introduction to empirical processes and semiparametric inference [[electronic resource] /] / Michael R. Kosorok
Introduction to empirical processes and semiparametric inference [[electronic resource] /] / Michael R. Kosorok
Autore Kosorok Michael R
Edizione [1st ed. 2008.]
Pubbl/distr/stampa New York, : Springer, c2008
Descrizione fisica 1 online resource (495 p.)
Disciplina 519.2/3
Collana Springer Series in Statistics
Soggetto topico Stochastic processes
Sampling (Statistics)
Probabilities
Estimation theory
Convergence
ISBN 1-281-21679-8
9786611216795
0-387-74978-0
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Overview -- An Overview of Empirical Processes -- Overview of Semiparametric Inference -- Case Studies I -- Empirical Processes -- to Empirical Processes -- Preliminaries for Empirical Processes -- Stochastic Convergence -- Empirical Process Methods -- Entropy Calculations -- Bootstrapping Empirical Processes -- Additional Empirical Process Results -- The Functional Delta Method -- Z-Estimators -- M-Estimators -- Case Studies II -- Semiparametric Inference -- to Semiparametric Inference -- Preliminaries for Semiparametric Inference -- Semiparametric Models and Efficiency -- Efficient Inference for Finite-Dimensional Parameters -- Efficient Inference for Infinite-Dimensional Parameters -- Semiparametric M-Estimation -- Case Studies III.
Record Nr. UNINA-9910828285803321
Kosorok Michael R  
New York, : Springer, c2008
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Introduction to survey design & delivery [[electronic resource]]
Introduction to survey design & delivery [[electronic resource]]
Pubbl/distr/stampa Charleston, SC : , : National Oceanic and Atmospheric Administration, Coastal Services Center, , 2007
Descrizione fisica 1 online resource (18 pages) : illustrations
Collana Social science tools for coastal programs
Soggetto topico Surveys
Sampling (Statistics)
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Introduction -- Population and sample size -- Survey delivery mechanisms -- Sampling techniques -- Constructing survey questionnaires -- The Report -- Appendix A - Guide to survey sampling and analysis terms -- Appendix B - Guide to survey types.
Altri titoli varianti Introduction to survey design and delivery
Record Nr. UNINA-9910697044203321
Charleston, SC : , : National Oceanic and Atmospheric Administration, Coastal Services Center, , 2007
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Introduction to survey quality [[electronic resource] /] / Paul P. Biemer, Lars E. Lyberg
Introduction to survey quality [[electronic resource] /] / Paul P. Biemer, Lars E. Lyberg
Autore Biemer Paul P
Pubbl/distr/stampa Hoboken, NJ., : Wiley, c2003
Descrizione fisica 1 online resource (420 p.)
Disciplina 001.4/33
001.433
519.5
Altri autori (Persone) LybergLars
Collana Wiley series in survey methodology
Soggetto topico Sampling (Statistics)
Surveys - Evaluation
Soggetto genere / forma Electronic books.
ISBN 1-280-36627-3
9786610366279
0-470-30177-5
0-471-45872-4
0-471-45874-0
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Introduction to Survey Quality; Contents; Preface; 1. The Evolution of Survey Process Quality; 1.1. The Concept of a Survey; 1.2. Types of Surveys; 1.3. Brief History of Survey Methodology; 1.4. The Quality Revolution; 1.5. Definitions of Quality and Quality in Statistical Organizations; 1.6. Measuring Quality; 1.7. Improving Quality; 1.8. Quality in a Nutshell; 2. The Survey Process and Data Quality; 2.1. Overview of the Survey Process; 2.2. Data Quality and Total Survey Error; 2.3. Decomposing Nonsampling Error into Its Component Parts; 2.4. Gauging the Magnitude of Total Survey Error
2.5. Mean Squared Error2.6. Illustration of the Concepts; 3. Coverage and Nonresponse Error; 3.1. Coverage Error; 3.2. Measures of Coverage Bias; 3.3. Reducing Coverage Bias; 3.4. Unit Nonresponse Error; 3.5. Calculating Response Rates; 3.6. Reducing Nonresponse Bias; 4. The Measurement Process and Its Implications for Questionnaire Design; 4.1. Components of Measurement Error; 4.2. Errors Arising from the Questionnaire Design; 4.3. Understanding the Response Process; 5. Errors Due to Interviewers and Interviewing; 5.1. Role of the Interviewer; 5.2. Interviewer Variability
5.3. Design Factors that Influence Interviewer Effects5.4. Evaluation of Interviewer Performance; 6. Data Collection Modes and Associated Errors; 6.1. Modes of Data Collection; 6.2. Decision Regarding Mode; 6.3. Some Examples of Mode Effects; 7. Data Processing: Errors and Their Control; 7.1. Overview of Data Processing Steps; 7.2. Nature of Data Processing Error; 7.3. Data Capture Errors; 7.4. Post-Data Capture Editing; 7.5. Coding; 7.6. File Preparation; 7.7. Applications of Continuous Quality Improvement: The Case of Coding; 7.8. Integration Activities
8. Overview of Survey Error Evaluation Methods8.1. Purposes of Survey Error Evaluation; 8.2. Evaluation Methods for Designing and Pretesting Surveys; 8.3. Methods for Monitoring and Controlling Data Quality; 8.4. Postsurvey Evaluations; 8.5. Summary of Evaluation Methods; 9. Sampling Error; 9.1. Brief History of Sampling; 9.2. Nonrandom Sampling Methods; 9.3. Simple Random Sampling; 9.4. Statistical Inference in the Presence of Nonsampling Errors; 9.5. Other Methods of Random Sampling; 9.6. Concluding Remarks; 10. Practical Survey Design for Minimizing Total Survey Error
10.1. Balance Between Cost, Survey Error, and Other Quality Features10.2. Planning a Survey for Optimal Quality; 10.3. Documenting Survey Quality; 10.4. Organizational Issues Related to Survey Quality; References; Index
Record Nr. UNINA-9910143185303321
Biemer Paul P  
Hoboken, NJ., : Wiley, c2003
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Introduction to survey quality [[electronic resource] /] / Paul P. Biemer, Lars E. Lyberg
Introduction to survey quality [[electronic resource] /] / Paul P. Biemer, Lars E. Lyberg
Autore Biemer Paul P
Pubbl/distr/stampa Hoboken, NJ., : Wiley, c2003
Descrizione fisica 1 online resource (420 p.)
Disciplina 001.4/33
001.433
519.5
Altri autori (Persone) LybergLars
Collana Wiley series in survey methodology
Soggetto topico Sampling (Statistics)
Surveys - Evaluation
ISBN 1-280-36627-3
9786610366279
0-470-30177-5
0-471-45872-4
0-471-45874-0
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Introduction to Survey Quality; Contents; Preface; 1. The Evolution of Survey Process Quality; 1.1. The Concept of a Survey; 1.2. Types of Surveys; 1.3. Brief History of Survey Methodology; 1.4. The Quality Revolution; 1.5. Definitions of Quality and Quality in Statistical Organizations; 1.6. Measuring Quality; 1.7. Improving Quality; 1.8. Quality in a Nutshell; 2. The Survey Process and Data Quality; 2.1. Overview of the Survey Process; 2.2. Data Quality and Total Survey Error; 2.3. Decomposing Nonsampling Error into Its Component Parts; 2.4. Gauging the Magnitude of Total Survey Error
2.5. Mean Squared Error2.6. Illustration of the Concepts; 3. Coverage and Nonresponse Error; 3.1. Coverage Error; 3.2. Measures of Coverage Bias; 3.3. Reducing Coverage Bias; 3.4. Unit Nonresponse Error; 3.5. Calculating Response Rates; 3.6. Reducing Nonresponse Bias; 4. The Measurement Process and Its Implications for Questionnaire Design; 4.1. Components of Measurement Error; 4.2. Errors Arising from the Questionnaire Design; 4.3. Understanding the Response Process; 5. Errors Due to Interviewers and Interviewing; 5.1. Role of the Interviewer; 5.2. Interviewer Variability
5.3. Design Factors that Influence Interviewer Effects5.4. Evaluation of Interviewer Performance; 6. Data Collection Modes and Associated Errors; 6.1. Modes of Data Collection; 6.2. Decision Regarding Mode; 6.3. Some Examples of Mode Effects; 7. Data Processing: Errors and Their Control; 7.1. Overview of Data Processing Steps; 7.2. Nature of Data Processing Error; 7.3. Data Capture Errors; 7.4. Post-Data Capture Editing; 7.5. Coding; 7.6. File Preparation; 7.7. Applications of Continuous Quality Improvement: The Case of Coding; 7.8. Integration Activities
8. Overview of Survey Error Evaluation Methods8.1. Purposes of Survey Error Evaluation; 8.2. Evaluation Methods for Designing and Pretesting Surveys; 8.3. Methods for Monitoring and Controlling Data Quality; 8.4. Postsurvey Evaluations; 8.5. Summary of Evaluation Methods; 9. Sampling Error; 9.1. Brief History of Sampling; 9.2. Nonrandom Sampling Methods; 9.3. Simple Random Sampling; 9.4. Statistical Inference in the Presence of Nonsampling Errors; 9.5. Other Methods of Random Sampling; 9.6. Concluding Remarks; 10. Practical Survey Design for Minimizing Total Survey Error
10.1. Balance Between Cost, Survey Error, and Other Quality Features10.2. Planning a Survey for Optimal Quality; 10.3. Documenting Survey Quality; 10.4. Organizational Issues Related to Survey Quality; References; Index
Record Nr. UNINA-9910830847003321
Biemer Paul P  
Hoboken, NJ., : Wiley, c2003
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Introduction to survey quality [[electronic resource] /] / Paul P. Biemer, Lars E. Lyberg
Introduction to survey quality [[electronic resource] /] / Paul P. Biemer, Lars E. Lyberg
Autore Biemer Paul P
Pubbl/distr/stampa Hoboken, NJ., : Wiley, c2003
Descrizione fisica 1 online resource (420 p.)
Disciplina 001.4/33
001.433
519.5
Altri autori (Persone) LybergLars
Collana Wiley series in survey methodology
Soggetto topico Sampling (Statistics)
Surveys - Evaluation
ISBN 1-280-36627-3
9786610366279
0-470-30177-5
0-471-45872-4
0-471-45874-0
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Introduction to Survey Quality; Contents; Preface; 1. The Evolution of Survey Process Quality; 1.1. The Concept of a Survey; 1.2. Types of Surveys; 1.3. Brief History of Survey Methodology; 1.4. The Quality Revolution; 1.5. Definitions of Quality and Quality in Statistical Organizations; 1.6. Measuring Quality; 1.7. Improving Quality; 1.8. Quality in a Nutshell; 2. The Survey Process and Data Quality; 2.1. Overview of the Survey Process; 2.2. Data Quality and Total Survey Error; 2.3. Decomposing Nonsampling Error into Its Component Parts; 2.4. Gauging the Magnitude of Total Survey Error
2.5. Mean Squared Error2.6. Illustration of the Concepts; 3. Coverage and Nonresponse Error; 3.1. Coverage Error; 3.2. Measures of Coverage Bias; 3.3. Reducing Coverage Bias; 3.4. Unit Nonresponse Error; 3.5. Calculating Response Rates; 3.6. Reducing Nonresponse Bias; 4. The Measurement Process and Its Implications for Questionnaire Design; 4.1. Components of Measurement Error; 4.2. Errors Arising from the Questionnaire Design; 4.3. Understanding the Response Process; 5. Errors Due to Interviewers and Interviewing; 5.1. Role of the Interviewer; 5.2. Interviewer Variability
5.3. Design Factors that Influence Interviewer Effects5.4. Evaluation of Interviewer Performance; 6. Data Collection Modes and Associated Errors; 6.1. Modes of Data Collection; 6.2. Decision Regarding Mode; 6.3. Some Examples of Mode Effects; 7. Data Processing: Errors and Their Control; 7.1. Overview of Data Processing Steps; 7.2. Nature of Data Processing Error; 7.3. Data Capture Errors; 7.4. Post-Data Capture Editing; 7.5. Coding; 7.6. File Preparation; 7.7. Applications of Continuous Quality Improvement: The Case of Coding; 7.8. Integration Activities
8. Overview of Survey Error Evaluation Methods8.1. Purposes of Survey Error Evaluation; 8.2. Evaluation Methods for Designing and Pretesting Surveys; 8.3. Methods for Monitoring and Controlling Data Quality; 8.4. Postsurvey Evaluations; 8.5. Summary of Evaluation Methods; 9. Sampling Error; 9.1. Brief History of Sampling; 9.2. Nonrandom Sampling Methods; 9.3. Simple Random Sampling; 9.4. Statistical Inference in the Presence of Nonsampling Errors; 9.5. Other Methods of Random Sampling; 9.6. Concluding Remarks; 10. Practical Survey Design for Minimizing Total Survey Error
10.1. Balance Between Cost, Survey Error, and Other Quality Features10.2. Planning a Survey for Optimal Quality; 10.3. Documenting Survey Quality; 10.4. Organizational Issues Related to Survey Quality; References; Index
Record Nr. UNINA-9910841372803321
Biemer Paul P  
Hoboken, NJ., : Wiley, c2003
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Investigation of nonresponse bias : Hispanic Health and Nutrition Examination Survey / / by Michael L. Rowland and Ronald N. Forthofer
Investigation of nonresponse bias : Hispanic Health and Nutrition Examination Survey / / by Michael L. Rowland and Ronald N. Forthofer
Autore Rowland Michael <1945->
Pubbl/distr/stampa Hyattsville, Maryland : , : U.S. Department of Health and Human Services, Public Health Service, Centers for Disease Control and Prevention, National Center for Health Statistics, , 1993
Descrizione fisica 1 online resource (iv, 75 pages) : illustrations
Collana Vital and health statistics. Series 2, Data evaluation and methods research
DHHS publication
Soggetto topico Health surveys - United States - Statistical methods
Hispanic Americans - Attitudes
Nutrition surveys - United States - Statistical methods
Sampling (Statistics)
Health surveys - Statistical methods
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Altri titoli varianti Investigation of nonresponse bias
Record Nr. UNINA-9910712970103321
Rowland Michael <1945->  
Hyattsville, Maryland : , : U.S. Department of Health and Human Services, Public Health Service, Centers for Disease Control and Prevention, National Center for Health Statistics, , 1993
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
An investigation of nonresponse bias and survey location variability in the 2017-2018 National Health and Nutrition Examination Survey
An investigation of nonresponse bias and survey location variability in the 2017-2018 National Health and Nutrition Examination Survey
Pubbl/distr/stampa Hyattsville, Maryland : , : U.S. Department of Health and Human Services, Centers for Disease Control and Prevention, National Center for Health Statistics, , 2020
Descrizione fisica 1 online resource (iv, 28 pages) : color illustrations
Collana Vital and health statistics. Series 2, Data evaluation and methods research
Soggetto topico Nonresponse (Statistics)
Health surveys - United States
Nutrition surveys - United States
Sampling (Statistics)
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910715255303321
Hyattsville, Maryland : , : U.S. Department of Health and Human Services, Centers for Disease Control and Prevention, National Center for Health Statistics, , 2020
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui

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