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Mathematical tools for understanding infectious diseases dynamics [[electronic resource] /] / Odo Diekmann, Hans Heesterbeek, and Tom Britton
| Mathematical tools for understanding infectious diseases dynamics [[electronic resource] /] / Odo Diekmann, Hans Heesterbeek, and Tom Britton |
| Autore | Diekmann O |
| Edizione | [Course Book] |
| Pubbl/distr/stampa | Princeton, : Princeton University Press, 2012 |
| Descrizione fisica | 1 online resource (517 p.) |
| Disciplina | 614.4 |
| Altri autori (Persone) |
HeesterbeekHans <1960->
BrittonTom |
| Collana | Princeton series in theoretical and computational biology |
| Soggetto topico |
Epidemiology - Mathematical models
Communicable diseases - Mathematical models |
| Soggetto non controllato |
Bayesian statistical inference
ICU model Markov chain Monte Carlo method Markov chain Monte Carlo methods ReedІrost epidemic age structure asymptotic speed bacterial infections biological interpretation closed population compartmental epidemic systems consistency conditions contact duration demography dependence disease control disease outbreaks disease prevention disease transmission endemic epidemic models epidemic outbreak epidemic epidemiological models epidemiological parameters epidemiology general epidemic growth rate homogeneous community hospital infections hospital patients host population growth host human social behavior i-states individual states infected host infection transmission infection infectious disease epidemiology infectious disease infectious diseases infectious output infective agent infectivity intensive care units intrinsic growth rate larvae macroparasites mathematical modeling mathematical reasoning maximum likelihood estimation microparasites model construction outbreak situations outbreak pair approximation parasite load parasite population models propagation speed reproduction number separable mixing sexual activity stochastic epidemic model structured population models susceptibility vaccination |
| ISBN |
1-283-57875-1
9786613891204 1-4008-4562-9 |
| Classificazione | SCI008000MAT003000MED022090 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Front matter -- Contents -- Preface -- Part I. The bare bones: Basic issues in the simplest context -- Part II. Structured populations -- Part III. Case studies on inference -- Part IV. Elaborations -- Bibliography -- Index |
| Record Nr. | UNINA-9910785785403321 |
Diekmann O
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| Princeton, : Princeton University Press, 2012 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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The Statistical Foundations of Entropy
| The Statistical Foundations of Entropy |
| Autore | Jizba Petr |
| Pubbl/distr/stampa | Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 |
| Descrizione fisica | 1 online resource (182 p.) |
| Soggetto topico |
Mathematics & science
Research & information: general |
| Soggetto non controllato |
adaptive Type-II progressive hybrid censoring scheme
Bayesian estimation Bayesian inference calibration invariance confidence interval critical phenomena distributional weighted regression ecological inference entropic uncertainty relations entropy escort probabilities gaussian entropy generalized Bilal distribution generalized cross entropy generalized entropies GENERIC Kolmogorov-Nagumo averages Lagrange multipliers landsberg-vedral entropy Lindley's approximation Markov chain Monte Carlo method matrix adjustment MaxEnt distribution maximum entropy maximum entropy principle maximum likelihood estimation multiscale thermodynamics n/a non-Diophantine arithmetic non-equilibrium thermodynamics non-Newtonian calculus quantum metrology renormalization rényi entropy Rényi entropy sharma-mittal entropy tsallis entropy Tsallis entropy updating probabilities variational entropy α-channel capacity α-mutual information |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910566461703321 |
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Jizba Petr
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| Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||