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A Parametric Approach to Nonparametric Statistics / Mayer Alvo, Philip L. H. Yu
| A Parametric Approach to Nonparametric Statistics / Mayer Alvo, Philip L. H. Yu |
| Autore | Alvo, Mayer |
| Pubbl/distr/stampa | Cham, : Springer, 2018 |
| Descrizione fisica | xiv, 279 p. : ill. ; 24 cm |
| Altri autori (Persone) | Yu, Philip L. H. |
| Soggetto topico |
62-XX - Statistics [MSC 2020]
62Gxx - Nonparametric inference [MSC 2020] 62Fxx - Parametric inference [MSC 2020] 62N02 - Estimation in survival analysis and censored data [MSC 2020] |
| Soggetto non controllato |
Bayesian analysis
Nonparametric Statistics Nonparametrics Parametric inference Penalized likelihood Ranking data Statistical inference |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Titolo uniforme | |
| Record Nr. | UNICAMPANIA-VAN0124513 |
Alvo, Mayer
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| Cham, : Springer, 2018 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
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A Parametric Approach to Nonparametric Statistics / Mayer Alvo, Philip L. H. Yu
| A Parametric Approach to Nonparametric Statistics / Mayer Alvo, Philip L. H. Yu |
| Autore | Alvo, Mayer |
| Pubbl/distr/stampa | Cham, : Springer, 2018 |
| Descrizione fisica | xiv, 279 p. : ill. ; 24 cm |
| Altri autori (Persone) | Yu, Philip L. H. |
| Soggetto topico |
62-XX - Statistics [MSC 2020]
62Fxx - Parametric inference [MSC 2020] 62Gxx - Nonparametric inference [MSC 2020] 62N02 - Estimation in survival analysis and censored data [MSC 2020] |
| Soggetto non controllato |
Bayesian analysis
Nonparametric Statistics Nonparametrics Parametric inference Penalized likelihood Ranking data Statistical inference |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Titolo uniforme | |
| Record Nr. | UNICAMPANIA-VAN00124513 |
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Alvo, Mayer
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| Cham, : Springer, 2018 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
| ||
A Parametric Approach to Nonparametric Statistics / Mayer Alvo, Philip L. H. Yu
| A Parametric Approach to Nonparametric Statistics / Mayer Alvo, Philip L. H. Yu |
| Autore | Alvo, Mayer |
| Edizione | [Cham : Springer, 2018] |
| Pubbl/distr/stampa | xiv, 279 p., : ill. ; 24 cm |
| Descrizione fisica | Pubblicazione in formato elettronico |
| Altri autori (Persone) | Yu, Philip L. H. |
| Soggetto topico |
62-XX - Statistics [MSC 2020]
62Gxx - Nonparametric inference [MSC 2020] 62Fxx - Parametric inference [MSC 2020] 62N02 - Estimation in survival analysis and censored data [MSC 2020] |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNICAMPANIA-SUN0124513 |
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Alvo, Mayer
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| xiv, 279 p., : ill. ; 24 cm | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
| ||
A Primer of Permutation Statistical Methods / Kenneth J. Berry, Janis E. Johnston, Paul W. Mielke Jr
| A Primer of Permutation Statistical Methods / Kenneth J. Berry, Janis E. Johnston, Paul W. Mielke Jr |
| Autore | Berry, Kenneth J. |
| Pubbl/distr/stampa | Cham, : Springer, 2019 |
| Descrizione fisica | xxiii, 476 p. ; 24 cm |
| Altri autori (Persone) |
Johnston, Janis E.
Mielke, Paul W. jr. |
| Soggetto topico |
01-XX - History and biography [MSC 2020]
62-XX - Statistics [MSC 2020] 62Gxx - Nonparametric inference [MSC 2020] 62Axx - Foundational topics in statistics [MSC 2020] 62R07 - Statistical aspects of big data and data science [MSC 2020] 68T09 - Computational aspects of data analysis and big data [MSC 2020] |
| Soggetto non controllato |
Combinatorics
Contingency tables Exact tests Moment approximation tests Monte Carlo tests Permutation Randomization |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Titolo uniforme | |
| Record Nr. | UNICAMPANIA-VAN0126632 |
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Berry, Kenneth J.
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| Cham, : Springer, 2019 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
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A Primer of Permutation Statistical Methods / Kenneth J. Berry, Janis E. Johnston, Paul W. Mielke Jr
| A Primer of Permutation Statistical Methods / Kenneth J. Berry, Janis E. Johnston, Paul W. Mielke Jr |
| Autore | Berry, Kenneth J. |
| Pubbl/distr/stampa | Cham, : Springer, 2019 |
| Descrizione fisica | xxiii, 476 p. ; 24 cm |
| Altri autori (Persone) |
Johnston, Janis E.
Mielke, Paul W. jr. |
| Soggetto topico |
01-XX - History and biography [MSC 2020]
62-XX - Statistics [MSC 2020] 62Axx - Foundational topics in statistics [MSC 2020] 62Gxx - Nonparametric inference [MSC 2020] 62R07 - Statistical aspects of big data and data science [MSC 2020] 68T09 - Computational aspects of data analysis and big data [MSC 2020] |
| Soggetto non controllato |
Combinatorics
Contingency Tables Exact tests Moment approximation tests Monte Carlo tests Permutation Randomization |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Titolo uniforme | |
| Record Nr. | UNICAMPANIA-VAN00126632 |
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Berry, Kenneth J.
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| Cham, : Springer, 2019 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
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A Primer of Permutation Statistical Methods / Kenneth J. Berry, Janis E. Johnston, Paul W. Mielke Jr
| A Primer of Permutation Statistical Methods / Kenneth J. Berry, Janis E. Johnston, Paul W. Mielke Jr |
| Autore | Berry, Kenneth J. |
| Edizione | [Cham : Springer, 2019] |
| Descrizione fisica | Pubblicazione in formato elettronico |
| Altri autori (Persone) |
Johnston, Janis E.
Mielke, Paul W. jr. |
| Soggetto topico |
01-XX - History and biography [MSC 2020]
62-XX - Statistics [MSC 2020] 62Gxx - Nonparametric inference [MSC 2020] 62Axx - Foundational topics in statistics [MSC 2020] 62R07 - Statistical aspects of big data and data science [MSC 2020] 68T09 - Computational aspects of data analysis and big data [MSC 2020] |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNICAMPANIA-SUN0126632 |
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Berry, Kenneth J.
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| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
| ||
Asymmetric Kernel Smoothing : Theory and Applications in Economics and Finance / Masayuki Hirukawa
| Asymmetric Kernel Smoothing : Theory and Applications in Economics and Finance / Masayuki Hirukawa |
| Autore | Hirukawa, Masayuki |
| Pubbl/distr/stampa | Singapore, : Springer, 2018 |
| Descrizione fisica | xii, 110 p. : ill. ; 24 cm |
| Soggetto topico |
62-XX - Statistics [MSC 2020]
62Gxx - Nonparametric inference [MSC 2020] 62Pxx - Applications of statistics [MSC 2020] |
| Soggetto non controllato |
Asymmetric Kernel
Boundary Correction Kernel Density Estimation Kernel Regression Smoother Kernel Smoothing Nonparametric Estimation Nonparametric Kernel Testing |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Titolo uniforme | |
| Record Nr. | UNICAMPANIA-VAN0125119 |
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Hirukawa, Masayuki
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| Singapore, : Springer, 2018 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
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Asymmetric kernel smoothing : theory and applications in economics and finance / Masayuki Hirukawa
| Asymmetric kernel smoothing : theory and applications in economics and finance / Masayuki Hirukawa |
| Autore | Hirukawa, Masayuki |
| Pubbl/distr/stampa | Singapore, : Springer, 2018. -1 testo elettronico ( (XII), 110 p., : ill.) |
| Soggetto topico |
62-XX - Statistics [MSC 2020]
62Gxx - Nonparametric inference [MSC 2020] 62Pxx - Applications of statistics [MSC 2020] |
| Soggetto non controllato |
Asymmetric Kernel
Boundary Correction Kernel Density Estimation Kernel Regression Smoother Kernel Smoothing Nonparametric Estimation Nonparametric Kernel Testing |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Titolo uniforme | |
| Record Nr. | UNICAMPANIA-VAN00125119 |
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Hirukawa, Masayuki
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| Singapore, : Springer, 2018. -1 testo elettronico ( (XII), 110 p., : ill.) | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
| ||
Asymmetric Kernel Smoothing : Theory and Applications in Economics and Finance / Masayuki Hirukawa
| Asymmetric Kernel Smoothing : Theory and Applications in Economics and Finance / Masayuki Hirukawa |
| Autore | Hirukawa, Masayuki |
| Edizione | [Singapore : Springer, 2018] |
| Pubbl/distr/stampa | xii, 110 p., : ill. ; 24 cm |
| Descrizione fisica | Pubblicazione in formato elettronico |
| Soggetto topico |
62-XX - Statistics [MSC 2020]
62Gxx - Nonparametric inference [MSC 2020] 62Pxx - Applications of statistics [MSC 2020] |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNICAMPANIA-SUN0125119 |
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Hirukawa, Masayuki
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| xii, 110 p., : ill. ; 24 cm | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
| ||
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, 1983 |
| Descrizione fisica | xiii, 173 p. : ill. ; 24 cm |
| Altri autori (Persone) | Scott, David John |
| Soggetto topico |
62-XX - Statistics [MSC 2020]
62G05 - Nonparametric estimation [MSC 2020] 62G10 - Nonparametric hypothesis testing [MSC 2020] 62G20 - Asymptotic properties of nonparametric inference [MSC 2020] 62Gxx - Nonparametric inference [MSC 2020] |
| Soggetto non controllato |
Branching Processes
Diffusion Processes Estimator Likelihood Random Variables Statistics |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | This monograph contains a comprehensive account of the recent work of the authors and other workers on large sample optimal inference for non-ergodic models. The non-ergodic family of models can be viewed as an extension of the usual Fisher-Rao model for asymptotics, referred to here as an ergodic family. The main feature of a non-ergodic model is that the sample Fisher information, appropriately normed, converges to a non-degenerate random variable rather than to a constant. Mixture experiments, growth models such as birth processes, branching processes, etc. , and non-stationary diffusion processes are typical examples of non-ergodic models for which the usual asymptotics and the efficiency criteria of the Fisher-Rao-Wald type are not directly applicable. The new model necessitates a thorough review of both technical and qualitative aspects of the asymptotic theory. The general model studied includes both ergodic and non-ergodic families even though we emphasise applications of the latter type. The plan to write the monograph originally evolved through a series of lectures given by the first author in a graduate seminar course at Cornell University during the fall of 1978, and by the second author at the University of Munich during the fall of 1979. Further work during 1979-1981 on the topic has resolved many of the outstanding conceptual and technical difficulties encountered previously. While there are still some gaps remaining, it appears that the mainstream development in the area has now taken a more definite shape. |
| Record Nr. | UNICAMPANIA-VAN00268565 |
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Basawa, Ishwar V.
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| New York, : Springer-Verlag, 1983 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
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