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A history of parametric statistical inference from Bernoulli to Fisher, 1713-1935 / Anders Hald
| A history of parametric statistical inference from Bernoulli to Fisher, 1713-1935 / Anders Hald |
| Autore | Hald, Anders |
| Pubbl/distr/stampa | New York : Springer, c2007 |
| Descrizione fisica | ix, 223 p. : ill. ; 25 cm |
| Disciplina | 519.54 |
| Collana | Sources and studies in the history of mathematics and physical sciences |
| Soggetto topico | Mathematical statistics - History |
| ISBN | 0387464085 |
| Classificazione |
AMS 01-XX
LC QA276.15.H353 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNISALENTO-991003449179707536 |
Hald, Anders
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| New York : Springer, c2007 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. del Salento | ||
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I confronti internazionali di produttività nei dati dell'O.C.S.E. / candidato Michele Lisi ; relatore Sergio Destefanis
| I confronti internazionali di produttività nei dati dell'O.C.S.E. / candidato Michele Lisi ; relatore Sergio Destefanis |
| Autore | LISI, Michele |
| Pubbl/distr/stampa | [S. l. : s. n.], anno accademico 1995 - 96 |
| Descrizione fisica | 140 p. ; 30 cm |
| Disciplina | 519.54 |
| Soggetto topico | Statistica |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | ita |
| Record Nr. | UNISA-990002442710203316 |
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LISI, Michele
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| [S. l. : s. n.], anno accademico 1995 - 96 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
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I fondamenti dell'inferenza statistica : atti del convegno tenuto a Firenze nei giorni 28-30 aprile 1977
| I fondamenti dell'inferenza statistica : atti del convegno tenuto a Firenze nei giorni 28-30 aprile 1977 |
| Pubbl/distr/stampa | Firenze : Dipartimento statistico, Università degli studi di Firenze, 1978 |
| Descrizione fisica | 398 p. ; 24 cm |
| Disciplina | 519.54 |
| Soggetto topico | Inferenza statistica - Congressi - 1977 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | ita |
| Record Nr. | UNISA-990000591810203316 |
| Firenze : Dipartimento statistico, Università degli studi di Firenze, 1978 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
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In all likelihood : statistical modelling and inference using likelihood / Yudi Pawitan
| In all likelihood : statistical modelling and inference using likelihood / Yudi Pawitan |
| Autore | Pawitan, Yudi |
| Pubbl/distr/stampa | Oxford : Clarendon, 2001 |
| Descrizione fisica | XIII,528 p. : ill. ; 24 cm |
| Disciplina | 519.54 |
| Collana | Oxford science publications |
| Soggetto non controllato | Inferenza statistica |
| ISBN | 0-19-850765-8 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-990008235440403321 |
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Pawitan, Yudi
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| Oxford : Clarendon, 2001 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Inference and asymptotics / O. E. Barndoff Nielsen , D.R. Cox
| Inference and asymptotics / O. E. Barndoff Nielsen , D.R. Cox |
| Autore | BARNDORFF NIELSEN, Ole Eiler |
| Pubbl/distr/stampa | London, : Chapman & Hall, 1994 |
| Descrizione fisica | 360 p. ; 22 cm |
| Disciplina | 519.54 |
| Altri autori (Persone) | COX, David Roxbee |
| Collana | Monographs on statistics and applied probability |
| Soggetto topico | Inferenza statistica |
| ISBN | 0-412-49440-X |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNISA-990005452420203316 |
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BARNDORFF NIELSEN, Ole Eiler
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| London, : Chapman & Hall, 1994 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
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Inference and asymptotics / O. E. Barndorff-Nielsen and D. R. Cox
| Inference and asymptotics / O. E. Barndorff-Nielsen and D. R. Cox |
| Autore | Barndorff-Nielsen, Ole Eiler |
| Pubbl/distr/stampa | London \etc.!, : Chapman & Hall, 1994 |
| Descrizione fisica | X, 360 p. ; 23 cm. |
| Disciplina | 519.54 |
| Altri autori (Persone) | Cox, David Roxbee |
| Collana | Monographs on statistics and applied probability |
| Soggetto topico | Inferenza statistica |
| ISBN | 041249440X |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNISANNIO-MIL0193284 |
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Barndorff-Nielsen, Ole Eiler
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| London \etc.!, : Chapman & Hall, 1994 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. del Sannio | ||
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Inference and asymptotics / O. E. Barndorff-Nielsen and D. R. Cox
| Inference and asymptotics / O. E. Barndorff-Nielsen and D. R. Cox |
| Autore | Barndorff-Nielsen, Ole Eiler |
| Pubbl/distr/stampa | London : Chapman & Hall, 1994 |
| Descrizione fisica | x, 360 p. : ill. ; 23 cm |
| Disciplina | 519.54 |
| Altri autori (Persone) | Cox, David Roxbeeauthor |
| Collana | Monographs on statistics and applied probability ; 52 |
| Soggetto topico | Mathematical statistics - Asymptotic theory |
| ISBN | 041249440X |
| Classificazione | AMS 62F |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNISALENTO-991000994359707536 |
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Barndorff-Nielsen, Ole Eiler
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| London : Chapman & Hall, 1994 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. del Salento | ||
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Inference and prediction in large dimensions [[electronic resource] /] / Denis Bosq, Delphine Blanke
| Inference and prediction in large dimensions [[electronic resource] /] / Denis Bosq, Delphine Blanke |
| Autore | Bosq Denis <1939-> |
| Pubbl/distr/stampa | Chichester, England ; ; Hoboken, NJ, : John Wiley/Dunod, c2007 |
| Descrizione fisica | 1 online resource (338 p.) |
| Disciplina |
519.5/44
519.54 |
| Altri autori (Persone) | BlankeDelphine |
| Collana | Wiley series in probability and statistics |
| Soggetto topico |
Estimation theory
Nonparametric statistics Stochastic processes Prediction theory |
| Soggetto genere / forma | Electronic books. |
| ISBN |
1-282-12309-2
9786612123092 0-470-72403-X 0-470-72402-1 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Inference and Prediction in Large Dimensions; Contents; List of abbreviations; Introduction; Part I Statistical Prediction Theory; 1 Statistical prediction; 1.1 Filtering; 1.2 Some examples; 1.3 The prediction model; 1.4 P-sufficient statistics; 1.5 Optimal predictors; 1.6 Efficient predictors; 1.7 Loss functions and empirical predictors; 1.7.1 Loss function; 1.7.2 Location parameters; 1.7.3 Bayesian predictors; 1.7.4 Linear predictors; 1.8 Multidimensional prediction; Notes; 2 Asymptotic prediction; 2.1 Introduction; 2.2 The basic problem; 2.3 Parametric prediction for stochastic processes
2.4 Predicting some common processes2.5 Equivalent risks; 2.6 Prediction for small time lags; 2.7 Prediction for large time lags; Notes; Part II Inference by Projection; 3 Estimation by adaptive projection; 3.1 Introduction; 3.2 A class of functional parameters; 3.3 Oracle; 3.4 Parametric rate; 3.5 Nonparametric rates; 3.6 Rate in uniform norm; 3.7 Adaptive projection; 3.7.1 Behaviour of truncation index; 3.7.2 Superoptimal rate; 3.7.3 The general case; 3.7.4 Discussion and implementation; 3.8 Adaptive estimation in continuous time; Notes; 4 Functional tests of fit 4.1 Generalized chi-square tests4.2 Tests based on linear estimators; 4.2.1 Consistency of the test; 4.2.2 Application; 4.3 Efficiency of functional tests of fit; 4.3.1 Adjacent hypotheses; 4.3.2 Bahadur efficiency; 4.4 Tests based on the uniform norm; 4.5 Extensions. Testing regression; 4.6 Functional tests for stochastic processes; Notes; 5 Prediction by projection; 5.1 A class of nonparametric predictors; 5.2 Guilbart spaces; 5.3 Predicting the conditional distribution; 5.4 Predicting the conditional distribution function; Notes; Part III Inference by Kernels 6 Kernel method in discrete time6.1 Presentation of the method; 6.2 Kernel estimation in the i.i.d. case; 6.3 Density estimation in the dependent case; 6.3.1 Mean-square error and asymptotic normality; 6.3.2 Almost sure convergence; 6.4 Regression estimation in the dependent case; 6.4.1 Framework and notations; 6.4.2 Pointwise convergence; 6.4.3 Uniform convergence; 6.5 Nonparametric prediction by kernel; 6.5.1 Prediction for a stationary Markov process of order k; 6.5.2 Prediction for general processes; Notes; 7 Kernelmethodin continuous time 7.1 Optimal and superoptimal rates for density estimation7.1.1 The optimal framework; 7.1.2 The superoptimal case; 7.2 From optimal to superoptimal rates; 7.2.1 Intermediate rates; 7.2.2 Classes of processes and examples; 7.2.3 Mean-square convergence; 7.2.4 Almost sure convergence; 7.2.5 An adaptive approach; 7.3 Regression estimation; 7.3.1 Pointwise almost sure convergence; 7.3.2 Uniform almost sure convergence; 7.4 Nonparametric prediction by kernel; Notes; 8 Kernel method from sampled data; 8.1 Density estimation; 8.1.1 High rate sampling; 8.1.2 Adequate sampling schemes 8.2 Regression estimation |
| Record Nr. | UNINA-9910144718003321 |
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Bosq Denis <1939->
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| Chichester, England ; ; Hoboken, NJ, : John Wiley/Dunod, c2007 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Inference and prediction in large dimensions [[electronic resource] /] / Denis Bosq, Delphine Blanke
| Inference and prediction in large dimensions [[electronic resource] /] / Denis Bosq, Delphine Blanke |
| Autore | Bosq Denis <1939-> |
| Pubbl/distr/stampa | Chichester, England ; ; Hoboken, NJ, : John Wiley/Dunod, c2007 |
| Descrizione fisica | 1 online resource (338 p.) |
| Disciplina |
519.5/44
519.54 |
| Altri autori (Persone) | BlankeDelphine |
| Collana | Wiley series in probability and statistics |
| Soggetto topico |
Estimation theory
Nonparametric statistics Stochastic processes Prediction theory |
| ISBN |
1-282-12309-2
9786612123092 0-470-72403-X 0-470-72402-1 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Inference and Prediction in Large Dimensions; Contents; List of abbreviations; Introduction; Part I Statistical Prediction Theory; 1 Statistical prediction; 1.1 Filtering; 1.2 Some examples; 1.3 The prediction model; 1.4 P-sufficient statistics; 1.5 Optimal predictors; 1.6 Efficient predictors; 1.7 Loss functions and empirical predictors; 1.7.1 Loss function; 1.7.2 Location parameters; 1.7.3 Bayesian predictors; 1.7.4 Linear predictors; 1.8 Multidimensional prediction; Notes; 2 Asymptotic prediction; 2.1 Introduction; 2.2 The basic problem; 2.3 Parametric prediction for stochastic processes
2.4 Predicting some common processes2.5 Equivalent risks; 2.6 Prediction for small time lags; 2.7 Prediction for large time lags; Notes; Part II Inference by Projection; 3 Estimation by adaptive projection; 3.1 Introduction; 3.2 A class of functional parameters; 3.3 Oracle; 3.4 Parametric rate; 3.5 Nonparametric rates; 3.6 Rate in uniform norm; 3.7 Adaptive projection; 3.7.1 Behaviour of truncation index; 3.7.2 Superoptimal rate; 3.7.3 The general case; 3.7.4 Discussion and implementation; 3.8 Adaptive estimation in continuous time; Notes; 4 Functional tests of fit 4.1 Generalized chi-square tests4.2 Tests based on linear estimators; 4.2.1 Consistency of the test; 4.2.2 Application; 4.3 Efficiency of functional tests of fit; 4.3.1 Adjacent hypotheses; 4.3.2 Bahadur efficiency; 4.4 Tests based on the uniform norm; 4.5 Extensions. Testing regression; 4.6 Functional tests for stochastic processes; Notes; 5 Prediction by projection; 5.1 A class of nonparametric predictors; 5.2 Guilbart spaces; 5.3 Predicting the conditional distribution; 5.4 Predicting the conditional distribution function; Notes; Part III Inference by Kernels 6 Kernel method in discrete time6.1 Presentation of the method; 6.2 Kernel estimation in the i.i.d. case; 6.3 Density estimation in the dependent case; 6.3.1 Mean-square error and asymptotic normality; 6.3.2 Almost sure convergence; 6.4 Regression estimation in the dependent case; 6.4.1 Framework and notations; 6.4.2 Pointwise convergence; 6.4.3 Uniform convergence; 6.5 Nonparametric prediction by kernel; 6.5.1 Prediction for a stationary Markov process of order k; 6.5.2 Prediction for general processes; Notes; 7 Kernelmethodin continuous time 7.1 Optimal and superoptimal rates for density estimation7.1.1 The optimal framework; 7.1.2 The superoptimal case; 7.2 From optimal to superoptimal rates; 7.2.1 Intermediate rates; 7.2.2 Classes of processes and examples; 7.2.3 Mean-square convergence; 7.2.4 Almost sure convergence; 7.2.5 An adaptive approach; 7.3 Regression estimation; 7.3.1 Pointwise almost sure convergence; 7.3.2 Uniform almost sure convergence; 7.4 Nonparametric prediction by kernel; Notes; 8 Kernel method from sampled data; 8.1 Density estimation; 8.1.1 High rate sampling; 8.1.2 Adequate sampling schemes 8.2 Regression estimation |
| Record Nr. | UNINA-9910830304003321 |
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Bosq Denis <1939->
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| Chichester, England ; ; Hoboken, NJ, : John Wiley/Dunod, c2007 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Inference and relationship / Maurice Kendall, Alan Stuart
| Inference and relationship / Maurice Kendall, Alan Stuart |
| Autore | Kendall, Maurice <1907-1983> |
| Edizione | [4th ed.] |
| Pubbl/distr/stampa | London : Griffin, 1979 |
| Descrizione fisica | x, 748 p. : fig., tav. ; 25 cm |
| Disciplina |
519.5
519.54 |
| Soggetto non controllato |
Statistica Inferenza statistica |
| ISBN | 0-85264-255-5 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-990003782800403321 |
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Kendall, Maurice <1907-1983>
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| London : Griffin, 1979 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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