Tom Britton – författare

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8 produkter

Stokastik
AvSven Erick Alm,Tom Britton
Inbunden, Svenska, 2008
4,0 utav 5 stjärnor. Totalt antal röster:(5)
759 kr
Skickas
Stokastik är en ny, grundläggande lärobok i matematisk statistik. Utöver teori innehåller boken ett stort antal lösta exempel samt ett ännu större antal övningar och problem, alla med facit och många med separata ledningar.

Boken lämpar sig som kurslitteratur i matematisk statistik för civilingenjörsutbildningar, matematik- och naturvetenskapliga utbildningar, samt till fristående kurser i matematisk statistik. Valda delar av boken lämpar sig för en första kurs i matematisk statistik på 5-10 hp enligt det nya Bolognasystemet medan resterande delar kan utgöra en fortsättningskurs på 5-10 hp.
Om författarna

Sven Erick Alm är professor vid Uppsala universitet. Tom Britton är professor vid Stockholms universitet.
Del 151 - Lecture Notes in Statistics
Stochastic Epidemic Models and Their Statistical Analysis
AvHakan Andersson,Tom Britton
Häftad, Engelska, 2000
1 485 kr
Skickas inom 10-15 vardagar
The present lecture notes describe stochastic epidemic models and methods for their statistical analysis. Our aim is to present ideas for such models, and methods for their analysis; along the way we make practical use of several probabilistic and statistical techniques. This will be done without focusing on any specific disease, and instead rigorously analyzing rather simple models. The reader of these lecture notes could thus have a two-fold purpose in mind: to learn about epidemic models and their statistical analysis, and/or to learn and apply techniques in probability and statistics. The lecture notes require an early graduate level knowledge of probability and They introduce several techniques which might be new to students, but our statistics. intention is to present these keeping the technical level at a minlmum. Techniques that are explained and applied in the lecture notes are, for example: coupling, diffusion approximation, random graphs, likelihood theory for counting processes, martingales, the EM-algorithm and MCMC methods. The aim is to introduce and apply these techniques, thus hopefully motivating their further theoretical treatment. A few sections, mainly in Chapter 5, assume some knowledge of weak convergence; we hope that readers not familiar with this theory can understand the these parts at a heuristic level. The text is divided into two distinct but related parts: modelling and estimation.
Mathematical Tools for Understanding Infectious Disease Dynamics
AvOdo Diekmann,Hans Heesterbeekm. fl.
Inbunden, Engelska, 2012
1 208 kr
Skickas inom 5-8 vardagar
Mathematical modeling is critical to our understanding of how infectious diseases spread at the individual and population levels. This book gives readers the necessary skills to correctly formulate and analyze mathematical models in infectious disease epidemiology, and is the first treatment of the subject to integrate deterministic and stochastic models and methods. Mathematical Tools for Understanding Infectious Disease Dynamics fully explains how to translate biological assumptions into mathematics to construct useful and consistent models, and how to use the biological interpretation and mathematical reasoning to analyze these models. It shows how to relate models to data through statistical inference, and how to gain important insights into infectious disease dynamics by translating mathematical results back to biology. This comprehensive and accessible book also features numerous detailed exercises throughout; full elaborations to all exercises are provided.* Covers the latest research in mathematical modeling of infectious disease epidemiology * Integrates deterministic and stochastic approaches * Teaches skills in model construction, analysis, inference, and interpretation * Features numerous exercises and their detailed elaborations * Motivated by real-world applications throughout
Mathematical Tools for Understanding Infectious Disease Dynamics
AvTom Britton,Hans Heesterbeekm. fl.
E-bok
Engelska, 2012
1 710 kr
Läs direkt efter köp
Mathematical modeling is critical to our understanding of how infectious diseases spread at the individual and population levels. This book gives readers the necessary skills to correctly formulate and analyze mathematical models in infectious disease epidemiology, and is the first treatment of the subject to integrate deterministic and stochastic models and methods.Mathematical Tools for Understanding Infectious Disease Dynamics fully explains how to translate biological assumptions into mathematics to construct useful and consistent models, and how to use the biological interpretation and mathematical reasoning to analyze these models. It shows how to relate models to data through statistical inference, and how to gain important insights into infectious disease dynamics by translating mathematical results back to biology. This comprehensive and accessible book also features numerous detailed exercises throughout; full elaborations to all exercises are provided.
Covers the latest research in mathematical modeling of infectious disease epidemiologyIntegrates deterministic and stochastic approachesTeaches skills in model construction, analysis, inference, and interpretationFeatures numerous exercises and their detailed elaborationsMotivated by real-world applications throughout
Stochastic Epidemic Models and Their Statistical Analysis
AvTom Britton,Hakan Andersson
E-bok
PDF, Engelska, 2012
1 798 kr
Läs direkt efter köp
The present lecture notes describe stochastic epidemic models and methods for their statistical analysis. Our aim is to present ideas for such models, and methods for their analysis; along the way we make practical use of several probabilistic and statistical techniques. This will be done without focusing on any specific disease, and instead rigorously analyzing rather simple models. The reader of these lecture notes could thus have a two-fold purpose in mind: to learn about epidemic models and their statistical analysis, and/or to learn and apply techniques in probability and statistics. The lecture notes require an early graduate level knowledge of probability and They introduce several techniques which might be new to students, but our statistics. intention is to present these keeping the technical level at a minlmum. Techniques that are explained and applied in the lecture notes are, for example: coupling, diffusion approximation, random graphs, likelihood theory for counting processes, martingales, the EM-algorithm and MCMC methods. The aim is to introduce and apply these techniques, thus hopefully motivating their further theoretical treatment. A few sections, mainly in Chapter 5, assume some knowledge of weak convergence; we hope that readers not familiar with this theory can understand the these parts at a heuristic level. The text is divided into two distinct but related parts: modelling and estimation.
Stochastic Epidemic Models with Inference
AvTom Britton,Etienne Pardoux
Häftad, Engelska, 2019
803 kr
Skickas inom 10-15 vardagar
Focussing on stochastic models for the spread of infectious diseases in a human population, this book is the outcome of a two-week ICPAM/CIMPA school on "Stochastic models of epidemics" which took place in Ziguinchor, Senegal, December 5–16, 2015. The text is divided into four parts, each based on one of the courses given at the school: homogeneous models (Tom Britton and Etienne Pardoux), two-level mixing models (David Sirl and Frank Ball), epidemics on graphs (Viet Chi Tran), and statistics for epidemic models (Catherine Larédo).The CIMPA school was aimed at PhD students and Post Docs in the mathematical sciences. Parts (or all) of this book can be used as the basis for traditional or individual reading courses on the topic. For this reason, examples and exercises (some with solutions) are provided throughout.
Stochastic Epidemic Models with Inference
AvEtienne Pardoux,Tom Britton
E-bok
PDF, Engelska, 2019
975 kr
Läs direkt efter köp
Focussing on stochastic models for the spread of infectious diseases in a human population, this book is the outcome of a two-week ICPAM/CIMPA school on "Stochastic models of epidemics" which took place in Ziguinchor, Senegal, December 5–16, 2015. The text is divided into four parts, each based on one of the courses given at the school: homogeneous models (Tom Britton and Etienne Pardoux), two-level mixing models (David Sirl and Frank Ball), epidemics on graphs (Viet Chi Tran), and statistics for epidemic models (Catherine Larédo).
The CIMPA school was aimed at PhD students and Post Docs in the mathematical sciences. Parts (or all) of this book can be used as the basis for traditional or individual reading courses on the topic. For this reason, examples and exercises (some with solutions) are provided throughout.
Sannolikhetslära och statistik
AvTom Britton,Hans Garmo
Häftad, Svenska, 2002
3,7 utav 5 stjärnor. Totalt antal röster:(3)
605 kr
Skickas
Boken är skriven för blivande lärare och vänder sig speciellt till studenter på lärarprogrammet med matematik somhuvudämne och med inriktning på grundskolans senare år eller på gymnasieskolan.I boken är sannolikhetslära, principerna för statistisk slutledningsförmåga samt planering av statistiska undersökningar och grafisk illustration av desamma.Boken innehåller en mängd lösta exempel och övningar med facit, varav många lämpar sig att användas i skolundervisningen.

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Tom Britton – författare

Stokastik

Stochastic Epidemic Models and Their Statistical Analysis

Mathematical Tools for Understanding Infectious Disease Dynamics

Mathematical Tools for Understanding Infectious Disease Dynamics

Stochastic Epidemic Models and Their Statistical Analysis

Stochastic Epidemic Models with Inference

Stochastic Epidemic Models with Inference

Sannolikhetslära och statistik

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