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Estimacao robusta no modelo de posicao : 13. coloquio brasileiro de Matematica, Pocos de Calda MG 12 a 24/07/1981 / Oscar Bustos
Estimacao robusta no modelo de posicao : 13. coloquio brasileiro de Matematica, Pocos de Calda MG 12 a 24/07/1981 / Oscar Bustos
Autore Bustos, Oscar
Pubbl/distr/stampa Rio De Janeiro : IMPA (Instituto de Matematica Pura e Aplicada), 1981
Descrizione fisica v, 135 p. ; 23 cm.
Disciplina 519.544
Soggetto topico Robustness and adaptive procedures
Classificazione AMS 62F
AMS 62F35
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione por
Record Nr. UNISALENTO-991000877989707536
Bustos, Oscar  
Rio De Janeiro : IMPA (Instituto de Matematica Pura e Aplicada), 1981
Materiale a stampa
Lo trovi qui: Univ. del Salento
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Estimating functions / edited by V. P. Godambe
Estimating functions / edited by V. P. Godambe
Pubbl/distr/stampa Oxford : Clarendon Press, 1991
Descrizione fisica 344 p. ; 24 cm.
Disciplina 519.544(Teoria della stima)
Soggetto topico Teoria della stima
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNISA-990005408590203316
Oxford : Clarendon Press, 1991
Materiale a stampa
Lo trovi qui: Univ. di Salerno
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Estimating functions / edited by V.P.Godambe
Estimating functions / edited by V.P.Godambe
Pubbl/distr/stampa Oxford : Clarendon Press, 1991
Descrizione fisica xii, 344 p. ; 24 cm
Disciplina 519.544
Altri autori (Persone) Godambe, V. P.
Collana Oxford statistical science series ; 7
Soggetto topico Stima
ISBN 0198522282
9780198522287
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNISALENTO-991002916069707536
Oxford : Clarendon Press, 1991
Materiale a stampa
Lo trovi qui: Univ. del Salento
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Estimation in conditionally heteroscedastic time series models / Daniel Straumann
Estimation in conditionally heteroscedastic time series models / Daniel Straumann
Autore STRAUMANN, Daniel
Pubbl/distr/stampa Berlin ; New York : Springer, c2005
Descrizione fisica xi, 228 p. : ill. ; 24 cm.
Disciplina 519.544(Teoria della stima)
Collana Lecture notes in statistics
Soggetto topico Teoria della stima
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNISA-990005521800203316
STRAUMANN, Daniel  
Berlin ; New York : Springer, c2005
Materiale a stampa
Lo trovi qui: Univ. di Salerno
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Estimation in semiparametric models : some recent developments / Johann Pfanzagl
Estimation in semiparametric models : some recent developments / Johann Pfanzagl
Autore Pfanzagl, Johann
Pubbl/distr/stampa New York [etc.] : Springer, c1990
Descrizione fisica 111 p. ; 25 cm.
Disciplina 519.544
Collana Lecture notes in statistics
Soggetto topico Statistica
ISBN 0-387-97238-2
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNIBAS-000016309
Pfanzagl, Johann  
New York [etc.] : Springer, c1990
Materiale a stampa
Lo trovi qui: Univ. della Basilicata
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Estimation in surveys with nonresponse / Carl-Erik Särndal, Sixten Lundström
Estimation in surveys with nonresponse / Carl-Erik Särndal, Sixten Lundström
Autore SARNDAL, Carl Erik
Pubbl/distr/stampa Chichester : Wiley & Sons, c2005
Descrizione fisica XI, 199 p. ; 24 cm
Disciplina 519.544(Teoria della stima)
Altri autori (Persone) LUNDSTRÖM, Sixten
Collana Wiley series in survey methodology
Soggetto topico Campionamento - Metodologia - Stima
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNISA-990005546320203316
SARNDAL, Carl Erik  
Chichester : Wiley & Sons, c2005
Materiale a stampa
Lo trovi qui: Univ. di Salerno
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Estimation in surveys with nonresponse [[electronic resource] /] / Carl-Erik Särndal, Sixten Lundström
Estimation in surveys with nonresponse [[electronic resource] /] / Carl-Erik Särndal, Sixten Lundström
Autore Särndal Carl-Erik <1937->
Pubbl/distr/stampa Hoboken, NJ, : Wiley, c2005
Descrizione fisica 1 online resource (214 p.)
Disciplina 001.433
519.5/44
519.544
Altri autori (Persone) LundströmSixten
Collana Wiley Series in Survey Methodology
Soggetto topico Estimation theory
Sampling (Statistics)
Nonresponse (Statistics)
Soggetto genere / forma Electronic books.
ISBN 1-280-27623-1
9786610276233
0-470-01135-1
0-470-01134-3
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Estimation in Surveys with Nonresponse; Contents; Preface; Chapter 1 Introduction; Chapter 2 The Survey and Its Imperfections; 2.1 The survey objective; 2.2 Sources of error in a survey; Chapter 3 General Principles to Assist Estimation; 3.1 Introduction; 3.2 The importance of auxiliary information; 3.3 Desirable features of an auxiliary vector; Chapter 4 The Use of Auxiliary Information under Ideal Conditions; 4.1 Introduction; 4.2 The Horvitz-Thompson estimator; 4.3 The generalized regression estimator; 4.4 Variance and variance estimation
4.5 Examples of the generalized regression estimatorChapter 5 Introduction to Estimation in the Presence of Nonresponse; 5.1 General background; 5.2 Errors caused by sampling and nonresponse; Appendix: Variance and mean squared error under nonresponse; Chapter 6 Weighting of Data in the Presence of Nonresponse; 6.1 Traditional approaches to weighting; 6.2 Auxiliary vectors and auxiliary information; 6.3 The calibration approach: some terminology; 6.4 Point estimation under the calibration approach; 6.5 Calibration estimators for domains; 6.6 Comments on the calibration approach
6.7 Alternative sets of calibrated weights6.8 Properties of the calibrated weights; Chapter 7 Examples of Calibration Estimators; 7.1 Examples of familiar estimators for data with nonresponse; 7.2 The simplest auxiliary vector; 7.3 One-way classi.cation; 7.4 A single quantitative auxiliary variable; 7.5 One-way classi.cation combined with a quantitative variable; 7.6 Two-way classi.cation; 7.7 A Monte Carlo simulation study; Chapter 8 The Combined Use of Sample Information and Population Information; 8.1 Options for the combined use of information
8.2 An example of calibration with information at both levels8.3 A Monte Carlo simulation study of alternative calibration procedures; 8.4 Two-step procedures in practice; Chapter 9 Analysing the Bias due to Nonresponse; 9.1 Simple estimators and their nonresponse bias; 9.2 Finding an ef.cient grouping; 9.3 Further illustrations of the nonresponse; 9.4 A general expression for the bias of the calibration estimator; 9.5 Conditions for near-unbiasedness; 9.6 A review of concepts, terms and ideas; Appendix: Proof of Proposition 9.1; Chapter 10 Selecting the Most Relevant Auxiliary Information
10.1 Discussion10.2 Guidelines for the construction of an auxiliary vector; 10.3 The prospects for near-zero bias with traditional estimators; 10.4 Further avenues towards a zero bias; 10.5 A further tool for reducing the bias; 10.6 The search for a powerful auxiliary vector; 10.7 Empirical illustrations of the indicators; 10.8 Literature review; Chapter 11 Variance and Variance Estimation; 11.1 Variance estimation for the calibration estimator; 11.2 An estimator for ideal conditions; 11.3 A useful relationship; 11.4 Variance estimation for the two-step A and two-step B procedures
11.5 A simulation study of the variance estimation technique
Record Nr. UNINA-9910143689003321
Särndal Carl-Erik <1937->  
Hoboken, NJ, : Wiley, c2005
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Estimation in surveys with nonresponse [[electronic resource] /] / Carl-Erik Särndal, Sixten Lundström
Estimation in surveys with nonresponse [[electronic resource] /] / Carl-Erik Särndal, Sixten Lundström
Autore Särndal Carl-Erik <1937->
Pubbl/distr/stampa Hoboken, NJ, : Wiley, c2005
Descrizione fisica 1 online resource (214 p.)
Disciplina 001.433
519.5/44
519.544
Altri autori (Persone) LundströmSixten
Collana Wiley Series in Survey Methodology
Soggetto topico Estimation theory
Sampling (Statistics)
Nonresponse (Statistics)
ISBN 1-280-27623-1
9786610276233
0-470-01135-1
0-470-01134-3
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Estimation in Surveys with Nonresponse; Contents; Preface; Chapter 1 Introduction; Chapter 2 The Survey and Its Imperfections; 2.1 The survey objective; 2.2 Sources of error in a survey; Chapter 3 General Principles to Assist Estimation; 3.1 Introduction; 3.2 The importance of auxiliary information; 3.3 Desirable features of an auxiliary vector; Chapter 4 The Use of Auxiliary Information under Ideal Conditions; 4.1 Introduction; 4.2 The Horvitz-Thompson estimator; 4.3 The generalized regression estimator; 4.4 Variance and variance estimation
4.5 Examples of the generalized regression estimatorChapter 5 Introduction to Estimation in the Presence of Nonresponse; 5.1 General background; 5.2 Errors caused by sampling and nonresponse; Appendix: Variance and mean squared error under nonresponse; Chapter 6 Weighting of Data in the Presence of Nonresponse; 6.1 Traditional approaches to weighting; 6.2 Auxiliary vectors and auxiliary information; 6.3 The calibration approach: some terminology; 6.4 Point estimation under the calibration approach; 6.5 Calibration estimators for domains; 6.6 Comments on the calibration approach
6.7 Alternative sets of calibrated weights6.8 Properties of the calibrated weights; Chapter 7 Examples of Calibration Estimators; 7.1 Examples of familiar estimators for data with nonresponse; 7.2 The simplest auxiliary vector; 7.3 One-way classi.cation; 7.4 A single quantitative auxiliary variable; 7.5 One-way classi.cation combined with a quantitative variable; 7.6 Two-way classi.cation; 7.7 A Monte Carlo simulation study; Chapter 8 The Combined Use of Sample Information and Population Information; 8.1 Options for the combined use of information
8.2 An example of calibration with information at both levels8.3 A Monte Carlo simulation study of alternative calibration procedures; 8.4 Two-step procedures in practice; Chapter 9 Analysing the Bias due to Nonresponse; 9.1 Simple estimators and their nonresponse bias; 9.2 Finding an ef.cient grouping; 9.3 Further illustrations of the nonresponse; 9.4 A general expression for the bias of the calibration estimator; 9.5 Conditions for near-unbiasedness; 9.6 A review of concepts, terms and ideas; Appendix: Proof of Proposition 9.1; Chapter 10 Selecting the Most Relevant Auxiliary Information
10.1 Discussion10.2 Guidelines for the construction of an auxiliary vector; 10.3 The prospects for near-zero bias with traditional estimators; 10.4 Further avenues towards a zero bias; 10.5 A further tool for reducing the bias; 10.6 The search for a powerful auxiliary vector; 10.7 Empirical illustrations of the indicators; 10.8 Literature review; Chapter 11 Variance and Variance Estimation; 11.1 Variance estimation for the calibration estimator; 11.2 An estimator for ideal conditions; 11.3 A useful relationship; 11.4 Variance estimation for the two-step A and two-step B procedures
11.5 A simulation study of the variance estimation technique
Record Nr. UNINA-9910830681903321
Särndal Carl-Erik <1937->  
Hoboken, NJ, : Wiley, c2005
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Estimation in surveys with nonresponse [[electronic resource] /] / Carl-Erik Särndal, Sixten Lundström
Estimation in surveys with nonresponse [[electronic resource] /] / Carl-Erik Särndal, Sixten Lundström
Autore Särndal Carl-Erik <1937->
Pubbl/distr/stampa Hoboken, NJ, : Wiley, c2005
Descrizione fisica 1 online resource (214 p.)
Disciplina 001.433
519.5/44
519.544
Altri autori (Persone) LundströmSixten
Collana Wiley Series in Survey Methodology
Soggetto topico Estimation theory
Sampling (Statistics)
Nonresponse (Statistics)
ISBN 1-280-27623-1
9786610276233
0-470-01135-1
0-470-01134-3
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Estimation in Surveys with Nonresponse; Contents; Preface; Chapter 1 Introduction; Chapter 2 The Survey and Its Imperfections; 2.1 The survey objective; 2.2 Sources of error in a survey; Chapter 3 General Principles to Assist Estimation; 3.1 Introduction; 3.2 The importance of auxiliary information; 3.3 Desirable features of an auxiliary vector; Chapter 4 The Use of Auxiliary Information under Ideal Conditions; 4.1 Introduction; 4.2 The Horvitz-Thompson estimator; 4.3 The generalized regression estimator; 4.4 Variance and variance estimation
4.5 Examples of the generalized regression estimatorChapter 5 Introduction to Estimation in the Presence of Nonresponse; 5.1 General background; 5.2 Errors caused by sampling and nonresponse; Appendix: Variance and mean squared error under nonresponse; Chapter 6 Weighting of Data in the Presence of Nonresponse; 6.1 Traditional approaches to weighting; 6.2 Auxiliary vectors and auxiliary information; 6.3 The calibration approach: some terminology; 6.4 Point estimation under the calibration approach; 6.5 Calibration estimators for domains; 6.6 Comments on the calibration approach
6.7 Alternative sets of calibrated weights6.8 Properties of the calibrated weights; Chapter 7 Examples of Calibration Estimators; 7.1 Examples of familiar estimators for data with nonresponse; 7.2 The simplest auxiliary vector; 7.3 One-way classi.cation; 7.4 A single quantitative auxiliary variable; 7.5 One-way classi.cation combined with a quantitative variable; 7.6 Two-way classi.cation; 7.7 A Monte Carlo simulation study; Chapter 8 The Combined Use of Sample Information and Population Information; 8.1 Options for the combined use of information
8.2 An example of calibration with information at both levels8.3 A Monte Carlo simulation study of alternative calibration procedures; 8.4 Two-step procedures in practice; Chapter 9 Analysing the Bias due to Nonresponse; 9.1 Simple estimators and their nonresponse bias; 9.2 Finding an ef.cient grouping; 9.3 Further illustrations of the nonresponse; 9.4 A general expression for the bias of the calibration estimator; 9.5 Conditions for near-unbiasedness; 9.6 A review of concepts, terms and ideas; Appendix: Proof of Proposition 9.1; Chapter 10 Selecting the Most Relevant Auxiliary Information
10.1 Discussion10.2 Guidelines for the construction of an auxiliary vector; 10.3 The prospects for near-zero bias with traditional estimators; 10.4 Further avenues towards a zero bias; 10.5 A further tool for reducing the bias; 10.6 The search for a powerful auxiliary vector; 10.7 Empirical illustrations of the indicators; 10.8 Literature review; Chapter 11 Variance and Variance Estimation; 11.1 Variance estimation for the calibration estimator; 11.2 An estimator for ideal conditions; 11.3 A useful relationship; 11.4 Variance estimation for the two-step A and two-step B procedures
11.5 A simulation study of the variance estimation technique
Record Nr. UNINA-9910841066103321
Särndal Carl-Erik <1937->  
Hoboken, NJ, : Wiley, c2005
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Estimation of dependances based on empirical data / Vladimir Vapnik ; translated by Samuel Kotz
Estimation of dependances based on empirical data / Vladimir Vapnik ; translated by Samuel Kotz
Autore VAPNIK, Vladimir
Pubbl/distr/stampa New York : Springer Verlag, 1982. 399 p. ; 24 cm.
Disciplina 519.544(Teoria della stima)
Collana Springer series in statistics
Soggetto topico Teoria della stima
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNISA-990005445700203316
VAPNIK, Vladimir  
New York : Springer Verlag, 1982. 399 p. ; 24 cm.
Materiale a stampa
Lo trovi qui: Univ. di Salerno
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