Articles liés à Likelihood and Bayesian Inference
Synopsis
This richly illustrated textbook covers modern statistical methods with applications in medicine, epidemiology and biology. Firstly, it discusses the importance of statistical models in applied quantitative research and the central role of the likelihood function, describing likelihood-based inference from a frequentist viewpoint, and exploring the properties of the maximum likelihood estimate, the score function, the likelihood ratio and the Wald statistic. In the second part of the book, likelihood is combined with prior information to perform Bayesian inference. Topics include Bayesian updating, conjugate and reference priors, Bayesian point and interval estimates, Bayesian asymptotics and empirical Bayes methods. It includes a separate chapter on modern numerical techniques for Bayesian inference, and also addresses advanced topics, such as model choice and prediction from frequentist and Bayesian perspectives. This revised edition of the book "Applied Statistical Inference" has been expanded to include new material on Markov models for time series analysis. It also features a comprehensive appendix covering the prerequisites in probability theory, matrix algebra, mathematical calculus, and numerical analysis, and each chapter is complemented by exercises. The text is primarily intended for graduate statistics and biostatistics students with an interest in applications.
Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.
À propos de l?auteur
Leonhard Held is a Full Professor of Biostatistics, Director of the Master's Program in Biostatistics and Chair of the Center for Reproducible Science at the University of Zurich, Switzerland. He has published several books and numerous articles on statistical methodology, applied statistics and biomedical research and teaches undergraduate and graduate-level courses in Biostatistics and Medical Statistics.
Daniel Sabanés Bové completed his PhD in Statistics at the University of Zurich under the supervision of Leonhard Held. He started his career as a biostatistician in oncology drug development at Hoffmann-La Roche in 2013, and has been a data scientist at Google since 2018.
Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.
Acheter neuf
Afficher cet article
EUR 72,89
EUR 9,70 expédition depuis Allemagne vers France
Destinations, frais et délais
Résultats de recherche pour Likelihood and Bayesian Inference
Image fournie par le vendeur
Likelihood and Bayesian Inference
Edité par
Springer Berlin Heidelberg, 2020
ISBN 10 : 3662607913
ISBN 13 : 9783662607916
Neuf
Couverture rigide
Vendeur : moluna, Greven, Allemagne
Évaluation du vendeur 5 sur 5 étoiles
Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Offers an easily accessible and comprehensive introduction to model-based statistical inferenceProvides real-world applications in biology, medicine and epidemiology with programming examples in the open-source software RIncludes exe. N° de réf. du vendeur 449139973
Quantité disponible : Plus de 20 disponibles
Image d'archives
Likelihood and Bayesian Inference (Statistics for Biology and Health)
Vendeur : Ria Christie Collections, Uxbridge, Royaume-Uni
Évaluation du vendeur 5 sur 5 étoiles
Etat : New. In. N° de réf. du vendeur ria9783662607916_new
Quantité disponible : Plus de 20 disponibles
Image fournie par le vendeur
Likelihood and Bayesian Inference : With Applications in Biology and Medicine
Edité par
Springer Berlin Heidelberg, 2020
ISBN 10 : 3662607913
ISBN 13 : 9783662607916
Neuf
Couverture rigide
Vendeur : AHA-BUCH GmbH, Einbeck, Allemagne
Évaluation du vendeur 5 sur 5 étoiles
Buch. Etat : Neu. Druck auf Anfrage Neuware - Printed after ordering - This richly illustrated textbook covers modern statistical methods with applications in medicine, epidemiology and biology. Firstly, it discusses the importance of statistical models in applied quantitative research and the central role of the likelihood function, describing likelihood-based inference from a frequentist viewpoint, and exploring the properties of the maximum likelihood estimate, the score function, the likelihood ratio and the Wald statistic. In the second part of the book, likelihood is combined with prior information to perform Bayesian inference. Topics include Bayesian updating, conjugate and reference priors, Bayesian point and interval estimates, Bayesian asymptotics and empirical Bayes methods. It includes a separate chapter on modern numerical techniques for Bayesian inference, and also addresses advanced topics, such as model choice and prediction from frequentist and Bayesian perspectives. This revised edition of the book 'Applied Statistical Inference' has been expanded to include new material on Markov models for time series analysis. It also features a comprehensive appendix covering the prerequisites in probability theory, matrix algebra, mathematical calculus, and numerical analysis, and each chapter is complemented by exercises. The text is primarily intended for graduate statistics and biostatistics students with an interest in applications. N° de réf. du vendeur 9783662607916
Quantité disponible : 1 disponible(s)
Image fournie par le vendeur
Likelihood and Bayesian Inference
Edité par
Springer Berlin Heidelberg Apr 2020, 2020
ISBN 10 : 3662607913
ISBN 13 : 9783662607916
Neuf
Couverture rigide
Vendeur : BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Allemagne
Évaluation du vendeur 5 sur 5 étoiles
Buch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This richly illustrated textbook covers modern statistical methods with applications in medicine, epidemiology and biology. Firstly, it discusses the importance of statistical models in applied quantitative research and the central role of the likelihood function, describing likelihood-based inference from a frequentist viewpoint, and exploring the properties of the maximum likelihood estimate, the score function, the likelihood ratio and the Wald statistic. In the second part of the book, likelihood is combined with prior information to perform Bayesian inference. Topics include Bayesian updating, conjugate and reference priors, Bayesian point and interval estimates, Bayesian asymptotics and empirical Bayes methods. It includes a separate chapter on modern numerical techniques for Bayesian inference, and also addresses advanced topics, such as model choice and prediction from frequentist and Bayesian perspectives. This revised edition of the book 'Applied Statistical Inference' has been expanded to include new material on Markov models for time series analysis. It also features a comprehensive appendix covering the prerequisites in probability theory, matrix algebra, mathematical calculus, and numerical analysis, and each chapter is complemented by exercises. The text is primarily intended for graduate statistics and biostatistics students with an interest in applications. 416 pp. Englisch. N° de réf. du vendeur 9783662607916
Quantité disponible : 2 disponible(s)
Image fournie par le vendeur
Likelihood and Bayesian Inference
Edité par
Springer Berlin Heidelberg, Springer Berlin Heidelberg Apr 2020, 2020
ISBN 10 : 3662607913
ISBN 13 : 9783662607916
Neuf
Couverture rigide
Vendeur : buchversandmimpf2000, Emtmannsberg, BAYE, Allemagne
Évaluation du vendeur 5 sur 5 étoiles
Buch. Etat : Neu. This item is printed on demand - Print on Demand Titel. Neuware -This richly illustrated textbook covers modern statistical methods with applications in medicine, epidemiology and biology. Firstly, it discusses the importance of statistical models in applied quantitative research and the central role of the likelihood function, describing likelihood-based inference from a frequentist viewpoint, and exploring the properties of the maximum likelihood estimate, the score function, the likelihood ratio and the Wald statistic. In the second part of the book, likelihood is combined with prior information to perform Bayesian inference. Topics include Bayesian updating, conjugate and reference priors, Bayesian point and interval estimates, Bayesian asymptotics and empirical Bayes methods. It includes a separate chapter on modern numerical techniques for Bayesian inference, and also addresses advanced topics, such as model choice and prediction from frequentist and Bayesian perspectives. This revised edition of the book ¿Applied Statistical Inference¿ has been expanded to include new material on Markov models for time series analysis. It also features a comprehensive appendix covering the prerequisites in probability theory, matrix algebra, mathematical calculus, and numerical analysis, and each chapter is complemented by exercises. The text is primarily intended for graduate statistics and biostatistics students with an interest in applications.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 416 pp. Englisch. N° de réf. du vendeur 9783662607916
Quantité disponible : 1 disponible(s)
Image d'archives
Likelihood and Bayesian Inference (Statistics for Biology and Health)
Vendeur : California Books, Miami, FL, Etats-Unis
Évaluation du vendeur 5 sur 5 étoiles
Etat : New. N° de réf. du vendeur I-9783662607916
Quantité disponible : Plus de 20 disponibles
Image fournie par le vendeur
Likelihood and Bayesian Inference : With Applications in Biology and Medicine
Vendeur : GreatBookPricesUK, Woodford Green, Royaume-Uni
Évaluation du vendeur 5 sur 5 étoiles
Etat : New. N° de réf. du vendeur 41129331-n
Quantité disponible : Plus de 20 disponibles
Image fournie par le vendeur
Likelihood and Bayesian Inference : With Applications in Biology and Medicine
Vendeur : GreatBookPrices, Columbia, MD, Etats-Unis
Évaluation du vendeur 5 sur 5 étoiles
Etat : New. N° de réf. du vendeur 41129331-n
Quantité disponible : Plus de 20 disponibles
Image fournie par le vendeur
LIKELIHOOD AND BAYESIAN INTERFERENCE WITH APPLICATIONS IN BIOLOGY AND MEDICINE
Edité par
Springer, Berlin, Germany, 2020
ISBN 10 : 3662607913
ISBN 13 : 9783662607916
Ancien ou d'occasion
Couverture rigide
Vendeur : Second Story Books, ABAA, Rockville, MD, Etats-Unis
Évaluation du vendeur 4 sur 5 étoiles
Hardcover. Second Edition. Octavo, 402 pages. In Very Good condition. Spine is purple and yellow with gray and white lettering. Boards have mild bumping to corners. Text block has mild bending wear along fore edge pp. 47-62 and dogearing to p.343-344, 393-304. Shelved in Biology. NOTE: Shelved in Room X, Case #2. 1395478. FP New Rockville Stock. N° de réf. du vendeur 1395478
Quantité disponible : 1 disponible(s)
Image fournie par le vendeur
Likelihood and Bayesian Inference : With Applications in Biology and Medicine
Edité par
Springer, 2020
ISBN 10 : 3662607913
ISBN 13 : 9783662607916
Ancien ou d'occasion
Couverture rigide
Vendeur : GreatBookPrices, Columbia, MD, Etats-Unis
Évaluation du vendeur 5 sur 5 étoiles
Etat : As New. Unread book in perfect condition. N° de réf. du vendeur 41129331
Quantité disponible : Plus de 20 disponibles