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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  
Princeton, : Princeton University Press, 2012
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Mathematical tools for understanding infectious diseases dynamics / / Odo Diekmann, Hans Heesterbeek, and Tom Britton
Mathematical tools for understanding infectious diseases dynamics / / 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-9910816709103321
Diekmann O  
Princeton, : Princeton University Press, 2012
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
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 electronic resource (182 p.)
Soggetto topico Research & information: general
Mathematics & science
Soggetto non controllato ecological inference
generalized cross entropy
distributional weighted regression
matrix adjustment
entropy
critical phenomena
renormalization
multiscale thermodynamics
GENERIC
non-Newtonian calculus
non-Diophantine arithmetic
Kolmogorov-Nagumo averages
escort probabilities
generalized entropies
maximum entropy principle
MaxEnt distribution
calibration invariance
Lagrange multipliers
generalized Bilal distribution
adaptive Type-II progressive hybrid censoring scheme
maximum likelihood estimation
Bayesian estimation
Lindley's approximation
confidence interval
Markov chain Monte Carlo method
Rényi entropy
Tsallis entropy
entropic uncertainty relations
quantum metrology
non-equilibrium thermodynamics
variational entropy
rényi entropy
tsallis entropy
landsberg-vedral entropy
gaussian entropy
sharma-mittal entropy
α-mutual information
α-channel capacity
maximum entropy
Bayesian inference
updating probabilities
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910566461703321
Jizba Petr  
Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui