Nicholas P. Jewell – författare
Visar alla böcker från författaren Nicholas P. Jewell. Handla med fri frakt och snabb leverans.
10 produkter
Causal Inference in Statistics
A Primer
Av Judea Pearl, Madelyn Glymour m. fl.
Häftad, 2016
505 kr
Lägg i varukorg
CAUSAL INFERENCE IN STATISTICSA PrimerCausality is central to the understanding and use of data. Without an understanding of cause–effect relationships, we cannot use data to answer questions as basic as "Does this treatment harm or help patients?" But though hundreds of introductory texts are …
Lifetime Data: Models in Reliability and Survival Analysis
Av Nicholas P. Jewell, Alan C. Kimber m. fl.
Inbunden, 1995
1643 kr
Lägg i varukorg
Statistical models and methods for lifetime and other time-to-event data are widely used in many fields, including medicine, the environmental sciences, actuarial science, engineering, economics, management, and the social sciences. For example, closely related statistical methods have been applied …
Statistics for Epidemiology
E-bok, 2003
2251 kr
Lägg i varukorg
Statistical ideas have been integral to the development of epidemiology and continue to provide the tools needed to interpret epidemiological studies. Although epidemiologists do not need a highly mathematical background in statistical theory to conduct and interpret such studies, they do need more …
Causal Inference in Statistics
A Primer
Av Nicholas P. Jewell, Madelyn Glymour m. fl.
E-bok, 2016
586 kr
Lägg i varukorg
CAUSAL INFERENCE IN STATISTICS A Primer Causality is central to the understanding and use of data. Without an understanding of cause–effect relationships, we cannot use data to answer questions as basic as "Does this treatment harm or help patients?" But though hundreds of introductory texts are …
Causal Inference in Statistics
A Primer
Av Nicholas P. Jewell, Madelyn Glymour m. fl.
E-bok, 2016
586 kr
Lägg i varukorg
CAUSAL INFERENCE IN STATISTICS A Primer Causality is central to the understanding and use of data. Without an understanding of cause–effect relationships, we cannot use data to answer questions as basic as "Does this treatment harm or help patients?" But though hundreds of introductory texts are …
Lifetime Data: Models in Reliability and Survival Analysis
Av Nicholas P. Jewell, Alan C. Kimber m. fl.
Häftad, 2010
1643 kr
Lägg i varukorg
Statistical models and methods for lifetime and other time-to-event data are widely used in many fields, including medicine, the environmental sciences, actuarial science, engineering, economics, management, and the social sciences. For example, closely related statistical methods have been applied …
AIDS Epidemiology
Methodological Issues
Av Vernon T. Farewell, Klaus Dietz m. fl.
E-bok, 2013
734 kr
Lägg i varukorg
In 1974, the Societal Institute of the Mathematical Sciences (SIMS) initiated a series of five-day Research Application Conferences (RAC''s) at Alta, Utah, for the purpose of probing in depth societal fields in light of their receptivity to mathematical and statistical analysis. The first eleven …
AIDS Epidemiology
Methodological Issues
Av Nicholas P. Jewell, Klaus Dietz m. fl.
Häftad, 2012
568 kr
Lägg i varukorg
In 1974, the Societal Institute of the Mathematical Sciences (SIMS) initiated a series of five-day Research Application Conferences (RAC's) at Alta, Utah, for the purpose of probing in depth societal fields in light of their receptivity to mathematical and statistical analysis. The first eleven …
Lifetime Data: Models in Reliability and Survival Analysis
Av G. Alex Whitmore, Mei-Ling Ting Lee m. fl.
E-bok, 2013
2174 kr
Lägg i varukorg
Statistical models and methods for lifetime and other time-to-event data are widely used in many fields, including medicine, the environmental sciences, actuarial science, engineering, economics, management, and the social sciences. For example, closely related statistical methods have been applied …
Statistics for Epidemiology
Inbunden, 2003
2190 kr
Lägg i varukorg
Statistical ideas have been integral to the development of epidemiology and continue to provide the tools needed to interpret epidemiological studies. Although epidemiologists do not need a highly mathematical background in statistical theory to conduct and interpret such studies, they do need more …
