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Agricultural survey methods [[electronic resource] /] / edited by Roberto Benedetti [et. al.]
Agricultural survey methods [[electronic resource] /] / edited by Roberto Benedetti [et. al.]
Pubbl/distr/stampa Chichester, West Sussex, : John Wiley & Sons, c2010
Descrizione fisica 1 online resource (435 p.)
Disciplina 630.721
630.727
Altri autori (Persone) BenedettiRoberto <1964->
Soggetto topico Agriculture - Statistical methods
Agricultural mathematics
Soggetto genere / forma Electronic books.
ISBN 1-282-54765-8
9786612547652
0-470-66548-3
0-470-66546-7
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Agricultural Survey Methods; Contents; List of Contributors; Introduction; 1 The present state of agricultural statistics in developed countries: situation and challenges; 1.1 Introduction; 1.2 Current state and political and methodological context; 1.2.1 General; 1.2.2 Specific agricultural statistics in the UNECE region; 1.3 Governance and horizontal issues; 1.3.1 The governance of agricultural statistics; 1.3.2 Horizontal issues in the methodology of agricultural statistics; 1.4 Development in the demand for agricultural statistics; 1.5 Conclusions; Acknowledgements; Reference
Part I Census, Frames, Registers and Administrative Data2 Using administrative registers for agricultural statistics; 2.1 Introduction; 2.2 Registers, register systems and methodological issues; 2.3 Using registers for agricultural statistics; 2.3.1 One source; 2.3.2 Use in a farm register system; 2.3.3 Use in a system for agricultural statistics linked with the business register; 2.4 Creating a farm register: the population; 2.5 Creating a farm register: the statistical units; 2.6 Creating a farm register: the variables; 2.7 Conclusions; References
3 Alternative sampling frames and administrative data. What is the best data source for agricultural statistics?3.1 Introduction; 3.2 Administrative data; 3.3 Administrative data versus sample surveys; 3.4 Direct tabulation of administrative data; 3.4.1 Disadvantages of direct tabulation of administrative data; 3.5 Errors in administrative registers; 3.5.1 Coverage of administrative registers; 3.6 Errors in administrative data; 3.6.1 Quality control of the IACS data; 3.6.2 An estimate of errors of commission and omission in the IACS data; 3.7 Alternatives to direct tabulation
3.7.1 Matching different registers3.7.2 Integrating surveys and administrative data; 3.7.3 Taking advantage of administrative data for censuses; 3.7.4 Updating area or point sampling frames with administrative data; 3.8 Calibration and small-area estimators; 3.9 Combined use of different frames; 3.9.1 Estimation of a total; 3.9.2 Accuracy of estimates; 3.9.3 Complex sample designs; 3.10 Area frames; 3.10.1 Combining a list and an area frame; 3.11 Conclusions; Acknowledgements; References; 4 Statistical aspects of a census; 4.1 Introduction; 4.2 Frame; 4.2.1 Coverage; 4.2.2 Classification
4.2.3 Duplication4.3 Sampling; 4.4 Non-sampling error; 4.4.1 Response error; 4.4.2 Non-response; 4.5 Post-collection processing; 4.6 Weighting; 4.7 Modelling; 4.8 Disclosure avoidance; 4.9 Dissemination; 4.10 Conclusions; References; 5 Using administrative data for census coverage; 5.1 Introduction; 5.2 Statistics Canada's agriculture statistics programme; 5.3 1996 Census; 5.4 Strategy to add farms to the farm register; 5.4.1 Step 1: Match data from E to M; 5.4.2 Step 2: Identify potential farm operations among the unmatched records from E
5.4.3 Step 3: Search for the potential farms from E on M
Record Nr. UNINA-9910140588203321
Chichester, West Sussex, : John Wiley & Sons, c2010
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Agricultural survey methods [[electronic resource] /] / edited by Roberto Benedetti [et. al.]
Agricultural survey methods [[electronic resource] /] / edited by Roberto Benedetti [et. al.]
Pubbl/distr/stampa Chichester, West Sussex, : John Wiley & Sons, c2010
Descrizione fisica 1 online resource (435 p.)
Disciplina 630.721
630.727
Altri autori (Persone) BenedettiRoberto <1964->
Soggetto topico Agriculture - Statistical methods
Agricultural mathematics
ISBN 1-282-54765-8
9786612547652
0-470-66548-3
0-470-66546-7
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Agricultural Survey Methods; Contents; List of Contributors; Introduction; 1 The present state of agricultural statistics in developed countries: situation and challenges; 1.1 Introduction; 1.2 Current state and political and methodological context; 1.2.1 General; 1.2.2 Specific agricultural statistics in the UNECE region; 1.3 Governance and horizontal issues; 1.3.1 The governance of agricultural statistics; 1.3.2 Horizontal issues in the methodology of agricultural statistics; 1.4 Development in the demand for agricultural statistics; 1.5 Conclusions; Acknowledgements; Reference
Part I Census, Frames, Registers and Administrative Data2 Using administrative registers for agricultural statistics; 2.1 Introduction; 2.2 Registers, register systems and methodological issues; 2.3 Using registers for agricultural statistics; 2.3.1 One source; 2.3.2 Use in a farm register system; 2.3.3 Use in a system for agricultural statistics linked with the business register; 2.4 Creating a farm register: the population; 2.5 Creating a farm register: the statistical units; 2.6 Creating a farm register: the variables; 2.7 Conclusions; References
3 Alternative sampling frames and administrative data. What is the best data source for agricultural statistics?3.1 Introduction; 3.2 Administrative data; 3.3 Administrative data versus sample surveys; 3.4 Direct tabulation of administrative data; 3.4.1 Disadvantages of direct tabulation of administrative data; 3.5 Errors in administrative registers; 3.5.1 Coverage of administrative registers; 3.6 Errors in administrative data; 3.6.1 Quality control of the IACS data; 3.6.2 An estimate of errors of commission and omission in the IACS data; 3.7 Alternatives to direct tabulation
3.7.1 Matching different registers3.7.2 Integrating surveys and administrative data; 3.7.3 Taking advantage of administrative data for censuses; 3.7.4 Updating area or point sampling frames with administrative data; 3.8 Calibration and small-area estimators; 3.9 Combined use of different frames; 3.9.1 Estimation of a total; 3.9.2 Accuracy of estimates; 3.9.3 Complex sample designs; 3.10 Area frames; 3.10.1 Combining a list and an area frame; 3.11 Conclusions; Acknowledgements; References; 4 Statistical aspects of a census; 4.1 Introduction; 4.2 Frame; 4.2.1 Coverage; 4.2.2 Classification
4.2.3 Duplication4.3 Sampling; 4.4 Non-sampling error; 4.4.1 Response error; 4.4.2 Non-response; 4.5 Post-collection processing; 4.6 Weighting; 4.7 Modelling; 4.8 Disclosure avoidance; 4.9 Dissemination; 4.10 Conclusions; References; 5 Using administrative data for census coverage; 5.1 Introduction; 5.2 Statistics Canada's agriculture statistics programme; 5.3 1996 Census; 5.4 Strategy to add farms to the farm register; 5.4.1 Step 1: Match data from E to M; 5.4.2 Step 2: Identify potential farm operations among the unmatched records from E
5.4.3 Step 3: Search for the potential farms from E on M
Record Nr. UNINA-9910830919403321
Chichester, West Sussex, : John Wiley & Sons, c2010
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Agricultural survey methods / / edited by Roberto Benedetti [et. al.]
Agricultural survey methods / / edited by Roberto Benedetti [et. al.]
Pubbl/distr/stampa Chichester, West Sussex, : John Wiley & Sons, c2010
Descrizione fisica 1 online resource (435 p.)
Disciplina 630.721
630.727
Altri autori (Persone) BenedettiRoberto <1964->
Soggetto topico Agriculture - Statistical methods
Agricultural mathematics
ISBN 1-282-54765-8
9786612547652
0-470-66548-3
0-470-66546-7
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Agricultural Survey Methods; Contents; List of Contributors; Introduction; 1 The present state of agricultural statistics in developed countries: situation and challenges; 1.1 Introduction; 1.2 Current state and political and methodological context; 1.2.1 General; 1.2.2 Specific agricultural statistics in the UNECE region; 1.3 Governance and horizontal issues; 1.3.1 The governance of agricultural statistics; 1.3.2 Horizontal issues in the methodology of agricultural statistics; 1.4 Development in the demand for agricultural statistics; 1.5 Conclusions; Acknowledgements; Reference
Part I Census, Frames, Registers and Administrative Data2 Using administrative registers for agricultural statistics; 2.1 Introduction; 2.2 Registers, register systems and methodological issues; 2.3 Using registers for agricultural statistics; 2.3.1 One source; 2.3.2 Use in a farm register system; 2.3.3 Use in a system for agricultural statistics linked with the business register; 2.4 Creating a farm register: the population; 2.5 Creating a farm register: the statistical units; 2.6 Creating a farm register: the variables; 2.7 Conclusions; References
3 Alternative sampling frames and administrative data. What is the best data source for agricultural statistics?3.1 Introduction; 3.2 Administrative data; 3.3 Administrative data versus sample surveys; 3.4 Direct tabulation of administrative data; 3.4.1 Disadvantages of direct tabulation of administrative data; 3.5 Errors in administrative registers; 3.5.1 Coverage of administrative registers; 3.6 Errors in administrative data; 3.6.1 Quality control of the IACS data; 3.6.2 An estimate of errors of commission and omission in the IACS data; 3.7 Alternatives to direct tabulation
3.7.1 Matching different registers3.7.2 Integrating surveys and administrative data; 3.7.3 Taking advantage of administrative data for censuses; 3.7.4 Updating area or point sampling frames with administrative data; 3.8 Calibration and small-area estimators; 3.9 Combined use of different frames; 3.9.1 Estimation of a total; 3.9.2 Accuracy of estimates; 3.9.3 Complex sample designs; 3.10 Area frames; 3.10.1 Combining a list and an area frame; 3.11 Conclusions; Acknowledgements; References; 4 Statistical aspects of a census; 4.1 Introduction; 4.2 Frame; 4.2.1 Coverage; 4.2.2 Classification
4.2.3 Duplication4.3 Sampling; 4.4 Non-sampling error; 4.4.1 Response error; 4.4.2 Non-response; 4.5 Post-collection processing; 4.6 Weighting; 4.7 Modelling; 4.8 Disclosure avoidance; 4.9 Dissemination; 4.10 Conclusions; References; 5 Using administrative data for census coverage; 5.1 Introduction; 5.2 Statistics Canada's agriculture statistics programme; 5.3 1996 Census; 5.4 Strategy to add farms to the farm register; 5.4.1 Step 1: Match data from E to M; 5.4.2 Step 2: Identify potential farm operations among the unmatched records from E
5.4.3 Step 3: Search for the potential farms from E on M
Record Nr. UNINA-9910877532903321
Chichester, West Sussex, : John Wiley & Sons, c2010
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Sensory discrimination tests and measurements : sensometrics in sensory evaluation / / Jian Bi, Sensometrics Research and Service, Richmond, Virginia, USA
Sensory discrimination tests and measurements : sensometrics in sensory evaluation / / Jian Bi, Sensometrics Research and Service, Richmond, Virginia, USA
Autore Bi Jian
Edizione [Second edition.]
Pubbl/distr/stampa West Sussex : , : Wiley Blackwell, , 2015
Descrizione fisica 1 online resource (557 p.)
Disciplina 630.727
Soggetto topico Agriculture - Statistical methods
Sensory discrimination - Statistical methods
ISBN 1-5231-1052-X
1-118-99478-7
1-118-99486-8
1-118-99485-X
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Cover; Title Page; Copyright; Dedication; Brief Contents; Contents; Preface; Acknowledgements; About the companion website; Chapter 1 Introduction; 1.1 Sensometrics; 1.2 Sensory tests and measurements; 1.3 A brief review of sensory analysis methodologies; 1.4 Method, test, and measurement; 1.5 Commonly used discrimination methods; 1.6 Classification of sensory discrimination methods; Chapter 2 Measurements of sensory difference/similarity: Thurstonian discriminal distance; 2.1 Measurement of sensory difference/similarity; 2.2 Thurstonian discriminal distance, δ or d'; 2.3 Variance of d'
2.4 Tables and R/S-Plus codes for d' and variance of d'2.5 Computer-intensive approach to Thurstonian models of the ""M+N"" test; 2.6 Estimates of population and group d'; Chapter 3 Measurements of sensory difference/similarity: area under ROC curve in Signal Detection Theory; 3.1 Area measure of sensory difference/similarity; 3.2 ROC curve functions; 3.3 Estimations of the parameters of ROC curves; 3.4 Estimations of variances of estimators; 3.5 R/S-Plus codes for estimations of parameters for the three ratings methods; 3.6 Estimates of population R-index in replicated ratings
Chapter 4 Difference testing4.1 Binomial model for difference testing; 4.2 Difference tests using forced-choice methods; 4.3 Power analysis for tests for one proportion; 4.4 Discrimination tests using methods with response bias; 4.5 Power analysis of tests for two proportions; 4.6 Efficiency comparisons of difference tests; 4.7 Difference tests for d' and R-index; Chapter 5 Similarity (equivalence) testing; 5.1 Introduction; 5.2 Similarity tests using the Two-Alternative Forced Choice (2-AFC) method; 5.3 Similarity testing using forced-choice methods
5.4 Similarity tests using methods with response bias5.5 Similarity tests using ratings of the A-Not A, Same-Different, and A-Not AR; 5.6 Similarity tests for continuous data; 5.7 Similarity tests for correlated data; 5.8 Confidence interval for similarity evaluation; 5.9 Controversy over similarity (equivalence) tests in statistical and sensory literature; Chapter 6 Bayesian approach to discrimination tests; 6.1 Introduction; 6.2 One-proportion two-sided tests; 6.3 One-proportion one-sided tests; 6.4 Two-proportion tests; 6.5 Thurstonian d' for Bayesian estimate of proportion
Chapter 7 Modified discrimination tests7.1 Modified Triangular test; 7.2 Degree of Difference test; 7.3 Double discrimination tests; 7.4 Preference tests with a ""no preference"" option; 7.5 Discrimination tests with pseudo-correct responses (forgiveness); Chapter 8 Multiple-sample discrimination tests; 8.1 Multiple-sample comparison based on proportions; 8.2 Multiple-sample comparison based on ranks; 8.3 Multiple-sample comparison based on categories; 8.4 Multiple-sample comparison based on ratings; 8.5 Multiple-sample comparison based on paired comparisons
Chapter 9 Replicated discrimination tests: beta-binomial model
Record Nr. UNINA-9910131451003321
Bi Jian  
West Sussex : , : Wiley Blackwell, , 2015
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Sensory discrimination tests and measurements : sensometrics in sensory evaluation / / Jian Bi, Sensometrics Research and Service, Richmond, Virginia, USA
Sensory discrimination tests and measurements : sensometrics in sensory evaluation / / Jian Bi, Sensometrics Research and Service, Richmond, Virginia, USA
Autore Bi Jian
Edizione [Second edition.]
Pubbl/distr/stampa West Sussex : , : Wiley Blackwell, , 2015
Descrizione fisica 1 online resource (557 p.)
Disciplina 630.727
Soggetto topico Agriculture - Statistical methods
Sensory discrimination - Statistical methods
ISBN 1-5231-1052-X
1-118-99478-7
1-118-99486-8
1-118-99485-X
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Cover; Title Page; Copyright; Dedication; Brief Contents; Contents; Preface; Acknowledgements; About the companion website; Chapter 1 Introduction; 1.1 Sensometrics; 1.2 Sensory tests and measurements; 1.3 A brief review of sensory analysis methodologies; 1.4 Method, test, and measurement; 1.5 Commonly used discrimination methods; 1.6 Classification of sensory discrimination methods; Chapter 2 Measurements of sensory difference/similarity: Thurstonian discriminal distance; 2.1 Measurement of sensory difference/similarity; 2.2 Thurstonian discriminal distance, δ or d'; 2.3 Variance of d'
2.4 Tables and R/S-Plus codes for d' and variance of d'2.5 Computer-intensive approach to Thurstonian models of the ""M+N"" test; 2.6 Estimates of population and group d'; Chapter 3 Measurements of sensory difference/similarity: area under ROC curve in Signal Detection Theory; 3.1 Area measure of sensory difference/similarity; 3.2 ROC curve functions; 3.3 Estimations of the parameters of ROC curves; 3.4 Estimations of variances of estimators; 3.5 R/S-Plus codes for estimations of parameters for the three ratings methods; 3.6 Estimates of population R-index in replicated ratings
Chapter 4 Difference testing4.1 Binomial model for difference testing; 4.2 Difference tests using forced-choice methods; 4.3 Power analysis for tests for one proportion; 4.4 Discrimination tests using methods with response bias; 4.5 Power analysis of tests for two proportions; 4.6 Efficiency comparisons of difference tests; 4.7 Difference tests for d' and R-index; Chapter 5 Similarity (equivalence) testing; 5.1 Introduction; 5.2 Similarity tests using the Two-Alternative Forced Choice (2-AFC) method; 5.3 Similarity testing using forced-choice methods
5.4 Similarity tests using methods with response bias5.5 Similarity tests using ratings of the A-Not A, Same-Different, and A-Not AR; 5.6 Similarity tests for continuous data; 5.7 Similarity tests for correlated data; 5.8 Confidence interval for similarity evaluation; 5.9 Controversy over similarity (equivalence) tests in statistical and sensory literature; Chapter 6 Bayesian approach to discrimination tests; 6.1 Introduction; 6.2 One-proportion two-sided tests; 6.3 One-proportion one-sided tests; 6.4 Two-proportion tests; 6.5 Thurstonian d' for Bayesian estimate of proportion
Chapter 7 Modified discrimination tests7.1 Modified Triangular test; 7.2 Degree of Difference test; 7.3 Double discrimination tests; 7.4 Preference tests with a ""no preference"" option; 7.5 Discrimination tests with pseudo-correct responses (forgiveness); Chapter 8 Multiple-sample discrimination tests; 8.1 Multiple-sample comparison based on proportions; 8.2 Multiple-sample comparison based on ranks; 8.3 Multiple-sample comparison based on categories; 8.4 Multiple-sample comparison based on ratings; 8.5 Multiple-sample comparison based on paired comparisons
Chapter 9 Replicated discrimination tests: beta-binomial model
Record Nr. UNINA-9910810481603321
Bi Jian  
West Sussex : , : Wiley Blackwell, , 2015
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui