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A guide to chi-squared testing / Priscilla E. Greenwood, Mikhail S. Nikulin
| A guide to chi-squared testing / Priscilla E. Greenwood, Mikhail S. Nikulin |
| Autore | Greenwood, Priscilla E. |
| Pubbl/distr/stampa | New York : J. Wiley & Sons, c 1996 |
| Descrizione fisica | XII, 290 p. ; 24 cm |
| Disciplina | 519.5 |
| Collana |
interscience publication
Wiley series in probability and statistics. Applied probability and statistics. A Wiley |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | ita |
| Record Nr. | UNINA-990006851150403321 |
Greenwood, Priscilla E.
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| New York : J. Wiley & Sons, c 1996 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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A guide to chi-squared testing / Priscilla E. Greenwood, Michail S. Nikulin
| A guide to chi-squared testing / Priscilla E. Greenwood, Michail S. Nikulin |
| Autore | Greenwood, Priscilla E. |
| Descrizione fisica | xii, 280 p. ; 24 cm. |
| Disciplina | 519.56 |
| Altri autori (Persone) | Nikulin, Mikhail Stepanovich |
| Collana | Wiley series in probability and mathematical statistics. Applied probability and statistics, 0271-6356 |
| Soggetto topico | Chi-squared test |
| ISBN | 047155779X |
| Classificazione |
AMS 62G10
QA277.3.G74 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNISALENTO-991000969999707536 |
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Greenwood, Priscilla E.
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| Materiale a stampa | ||
| Lo trovi qui: Univ. del Salento | ||
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Stochastic neuron models / Priscilla E. Greenwood, Lawrence M. Ward
| Stochastic neuron models / Priscilla E. Greenwood, Lawrence M. Ward |
| Autore | Greenwood, Priscilla E. |
| Pubbl/distr/stampa | Cham, : Springer, : Mathematical biosciences Institute at the Ohio state university, 2016 |
| Descrizione fisica | X, 75 p. : ill. ; 24 cm |
| Altri autori (Persone) | Ward, Lawrence M. |
| Soggetto topico |
92C20 - Neural biology [MSC 2020]
60H30 - Applications of stochastic analysis (to PDEs, etc.) [MSC 2020] 37H10 - Generation, random and stochastic difference and differential equations [MSC 2020] 62P10 - Applications of statistics to biology and medical sciences; meta analysis [MSC 2020] 60J70 - Applications of Brownian motions and diffusion theory (population genetics, absorption problems, etc.) [MSC 2020] 60J20 - Applications of Markov chains and discrete-time Markov processes on general state spaces (social mobility, learning theory, industrial processes, etc.) [MSC 2020] 35Q84 - Fokker-Planck equations [MSC 2020] 39A21 - Oscillation theory for difference equations [MSC 2020] |
| Soggetto non controllato |
Excitation-inhibition interaction
Model neuron Neural system Reaction-diffusion Stochastic Facilitation Stochasticity Synchronization |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Titolo uniforme | |
| Record Nr. | UNICAMPANIA-VAN0115393 |
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Greenwood, Priscilla E.
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| Cham, : Springer, : Mathematical biosciences Institute at the Ohio state university, 2016 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
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Stochastic neuron models / Priscilla E. Greenwood, Lawrence M. Ward
| Stochastic neuron models / Priscilla E. Greenwood, Lawrence M. Ward |
| Autore | Greenwood, Priscilla E. |
| Pubbl/distr/stampa | Cham, : Springer, : Mathematical biosciences Institute at the Ohio state university, 2016 |
| Descrizione fisica | X, 75 p. : ill. ; 24 cm |
| Altri autori (Persone) | Ward, Lawrence M. |
| Soggetto topico |
35Q84 - Fokker-Planck equations [MSC 2020]
37H10 - Generation, random and stochastic difference and differential equations [MSC 2020] 39A21 - Oscillation theory for difference equations [MSC 2020] 60H30 - Applications of stochastic analysis (to PDEs, etc.) [MSC 2020] 60J20 - Applications of Markov chains and discrete-time Markov processes on general state spaces (social mobility, learning theory, industrial processes, etc.) [MSC 2020] 60J70 - Applications of Brownian motions and diffusion theory (population genetics, absorption problems, etc.) [MSC 2020] 62P10 - Applications of statistics to biology and medical sciences; meta analysis [MSC 2020] 92C20 - Neural biology [MSC 2020] |
| Soggetto non controllato |
Excitation-inhibition interaction
Model neuron Neural system Reaction-diffusion Stochastic Facilitation Stochasticity Synchronization |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Titolo uniforme | |
| Record Nr. | UNICAMPANIA-VAN00115393 |
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Greenwood, Priscilla E.
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||
| Cham, : Springer, : Mathematical biosciences Institute at the Ohio state university, 2016 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
| ||
Stochastic neuron models / Priscilla E. Greenwood, Lawrence M. Ward
| Stochastic neuron models / Priscilla E. Greenwood, Lawrence M. Ward |
| Autore | Greenwood, Priscilla E. |
| Edizione | [Cham : Springer : Mathematical biosciences Institute at the Ohio state university, 2016] |
| Pubbl/distr/stampa | X, 75 p., : ill. ; 24 cm |
| Descrizione fisica | Pubblicazione in formato elettronico |
| Altri autori (Persone) | Ward, Lawrence M. |
| Soggetto topico |
92C20 - Neural biology [MSC 2020]
60H30 - Applications of stochastic analysis (to PDEs, etc.) [MSC 2020] 37H10 - Generation, random and stochastic difference and differential equations [MSC 2020] 62P10 - Applications of statistics to biology and medical sciences; meta analysis [MSC 2020] 60J70 - Applications of Brownian motions and diffusion theory (population genetics, absorption problems, etc.) [MSC 2020] 60J20 - Applications of Markov chains and discrete-time Markov processes on general state spaces (social mobility, learning theory, industrial processes, etc.) [MSC 2020] 35Q84 - Fokker-Planck equations [MSC 2020] 39A21 - Oscillation theory for difference equations [MSC 2020] |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNICAMPANIA-SUN0115393 |
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Greenwood, Priscilla E.
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| X, 75 p., : ill. ; 24 cm | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
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