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Kirjailija

John Hinde

Kirjat ja teokset yhdessä paikassa: 5 kirjaa, julkaisuja vuosilta 2003-2023, suosituimpien joukossa Overdispersion. Vertaile teosten hintoja ja tarkista saatavuus suomalaisista kirjakaupoista.

5 kirjaa

Kirjojen julkaisuhaarukka 2003-2023.

Overdispersion

Overdispersion

John Hinde; Clarice G Demetrio

Chapman Hall/CRC
2023
sidottu
Overdispersion is commonly encountered in modelling data. Statisticians and those working in the application areas need to know how to deal with it, and this book provides a complete source for identifying and handling overdispersion. With increasing focus on modelling in the applied sciences, this book is a welcome addition to the modelling literature for researchers and practitioners working in biometrics, medicine, and epidemiology. It is also excellent supplementary reading for a graduate or graduate-level course in statistical modelling.
Statistical Modelling in R

Statistical Modelling in R

Murray Aitkin; Brian Francis; John Hinde; Ross Darnell

Oxford University Press
2009
sidottu
R is now the most widely used statistical package/language in university statistics departments and many research organisations. Its great advantages are that for many years it has been the leading-edge statistical package/language and that it can be freely downloaded from the R web site. Its cooperative development and open code also attracts many contributors meaning that the modelling and data analysis possibilities in R are much richer than in GLIM4, and so the R edition can be substantially more comprehensive than the GLIM4 edition. This text provides a comprehensive treatment of the theory of statistical modelling in R with an emphasis on applications to practical problems and an expanded discussion of statistical theory. A wide range of case studies is provided, using the normal, binomial, Poisson, multinomial, gamma, exponential and Weibull distributions, making this book ideal for graduates and research students in applied statistics and a wide range of quantitative disciplines.
Statistical Modelling in R

Statistical Modelling in R

Murray Aitkin; Brian Francis; John Hinde; Ross Darnell

Oxford University Press
2009
nidottu
R is now the most widely used statistical package/language in university statistics departments and many research organisations. Its great advantages are that for many years it has been the leading-edge statistical package/language and that it can be freely downloaded from the R web site. Its cooperative development and open code also attracts many contributors meaning that the modelling and data analysis possibilities in R are much richer than in GLIM4, and so the R edition can be substantially more comprehensive than the GLIM4 edition of Statistical Modelling. This text provides a comprehensive treatment of the theory of statistical modelling in R with an emphasis on applications to practical problems and an expanded discussion of statistical theory. A wide range of case studies is provided, using the normal, binomial, Poisson, multinomial, gamma, exponential and Weibull distributions, making this book ideal for graduates and research students in applied statistics and a wide range of quantitative disciplines.
Statistical modelling in GLIM4

Statistical modelling in GLIM4

Murray Aitkin; Brian Francis; John Hinde

Oxford University Press
2005
sidottu
This new edition of the successful multi-disciplinary text Statistical Modelling in GLIM takes into account new developments in both statistical software and statistical modelling. Including three new chapters on mixture and random effects models, it provides a comprehensive treatment of the theory of statistical modelling with generalised linear models with an emphasis on applications to practical problems and an expanded discussion of statistical theory. A wide range of case studies is also provided, using the normal, binomial, Poisson, multinomial, gamma, exponential and Weibull distributions. This book is ideal for graduates and research students in applied statistics and a wide range of quantitative disciplines, including biology, medicine and the social sciences. Professional statisticians at all levels will also find it an invaluable desktop companion.
When Coal Was King

When Coal Was King

John Hinde

University of British Columbia Press
2003
sidottu
The town of Ladysmith was one of the most important coal-mining communities on Vancouver Island during the early twentieth century. The Ladysmith miners had a reputation for radicalism and militancy and engaged in bitter struggles for union recognition and economic justice, most notably the Great Strike of 1912-14. This strike, one of the longest and most violent labour disputes in Canadian history, marked a watershed in the history of the town and the coal industry.This book explains the origins of the 1912-14 strike by examining the development of the coal industry on Vancouver Island, the founding of Ladysmith, the experience of work and safety in the mines, the process of political and economic mobilization, and how these factors contributed to the development of identity and community. While the Vancouver Island coal industry and the strike have been the focus of a number of popular histories, this book goes beyond to emphasize the importance of class, ethnicity, gender, and community in creating the conditions for the emergence and mobilization of the working-class population. Informed by current academic debates on the matter and within the discipline, this readable history takes into account extensive archival research, and will appeal to historians and others interested in the history of Vancouver Island.