0
Your cart

Your cart is empty

Browse All Departments
  • All Departments
Price
  • R1,000 - R2,500 (2)
  • R2,500 - R5,000 (3)
  • -
Status
Brand

Showing 1 - 5 of 5 matches in All Departments

Analysing Seasonal Health Data (Hardcover, 2010 Ed.): Adrian G. Barnett, Annette J. Dobson Analysing Seasonal Health Data (Hardcover, 2010 Ed.)
Adrian G. Barnett, Annette J. Dobson
R2,886 Discovery Miles 28 860 Ships in 10 - 15 working days

Seasonal patterns have been found in a remarkable range of health conditions, including birth defects, respiratory infections and cardiovascular disease. Accurately estimating the size and timing of seasonal peaks in disease incidence is an aid to understanding the causes and possibly to developing interventions. With global warming increasing the intensity of seasonal weather patterns around the world, a review of the methods for estimating seasonal effects on health is timely.

This is the first book on statistical methods for seasonal data written for a health audience. It describes methods for a range of outcomes (including continuous, count and binomial data) and demonstrates appropriate techniques for summarising and modelling these data. It has a practical focus and uses interesting examples to motivate and illustrate the methods. The statistical procedures and example data sets are available in an R package called season .

An Introduction to Generalized Linear Models (Hardcover, 4th edition): Annette J. Dobson, Adrian G. Barnett An Introduction to Generalized Linear Models (Hardcover, 4th edition)
Annette J. Dobson, Adrian G. Barnett
R4,458 Discovery Miles 44 580 Ships in 12 - 17 working days

An Introduction to Generalized Linear Models, Fourth Edition provides a cohesive framework for statistical modelling, with an emphasis on numerical and graphical methods. This new edition of a bestseller has been updated with new sections on non-linear associations, strategies for model selection, and a Postface on good statistical practice. Like its predecessor, this edition presents the theoretical background of generalized linear models (GLMs) before focusing on methods for analyzing particular kinds of data. It covers Normal, Poisson, and Binomial distributions; linear regression models; classical estimation and model fitting methods; and frequentist methods of statistical inference. After forming this foundation, the authors explore multiple linear regression, analysis of variance (ANOVA), logistic regression, log-linear models, survival analysis, multilevel modeling, Bayesian models, and Markov chain Monte Carlo (MCMC) methods. Introduces GLMs in a way that enables readers to understand the unifying structure that underpins them Discusses common concepts and principles of advanced GLMs, including nominal and ordinal regression, survival analysis, non-linear associations and longitudinal analysis Connects Bayesian analysis and MCMC methods to fit GLMs Contains numerous examples from business, medicine, engineering, and the social sciences Provides the example code for R, Stata, and WinBUGS to encourage implementation of the methods Offers the data sets and solutions to the exercises online Describes the components of good statistical practice to improve scientific validity and reproducibility of results. Using popular statistical software programs, this concise and accessible text illustrates practical approaches to estimation, model fitting, and model comparisons.

Analysing Seasonal Health Data (Paperback, 2010 ed.): Adrian G. Barnett, Annette J. Dobson Analysing Seasonal Health Data (Paperback, 2010 ed.)
Adrian G. Barnett, Annette J. Dobson
R2,789 Discovery Miles 27 890 Ships in 10 - 15 working days

Seasonal patterns have been found in a remarkable range of health conditions, including birth defects, respiratory infections and cardiovascular disease. Accurately estimating the size and timing of seasonal peaks in disease incidence is an aid to understanding the causes and possibly to developing interventions. With global warming increasing the intensity of seasonal weather patterns around the world, a review of the methods for estimating seasonal effects on health is timely.

This is the first book on statistical methods for seasonal data written for a health audience. It describes methods for a range of outcomes (including continuous, count and binomial data) and demonstrates appropriate techniques for summarising and modelling these data. It has a practical focus and uses interesting examples to motivate and illustrate the methods. The statistical procedures and example data sets are available in an R package called season ."

An Introduction to Generalized Linear Models (Paperback, 4th edition): Annette J. Dobson, Adrian G. Barnett An Introduction to Generalized Linear Models (Paperback, 4th edition)
Annette J. Dobson, Adrian G. Barnett
R2,118 Discovery Miles 21 180 Ships in 12 - 17 working days

An Introduction to Generalized Linear Models, Fourth Edition provides a cohesive framework for statistical modelling, with an emphasis on numerical and graphical methods. This new edition of a bestseller has been updated with new sections on non-linear associations, strategies for model selection, and a Postface on good statistical practice. Like its predecessor, this edition presents the theoretical background of generalized linear models (GLMs) before focusing on methods for analyzing particular kinds of data. It covers Normal, Poisson, and Binomial distributions; linear regression models; classical estimation and model fitting methods; and frequentist methods of statistical inference. After forming this foundation, the authors explore multiple linear regression, analysis of variance (ANOVA), logistic regression, log-linear models, survival analysis, multilevel modeling, Bayesian models, and Markov chain Monte Carlo (MCMC) methods. Introduces GLMs in a way that enables readers to understand the unifying structure that underpins them Discusses common concepts and principles of advanced GLMs, including nominal and ordinal regression, survival analysis, non-linear associations and longitudinal analysis Connects Bayesian analysis and MCMC methods to fit GLMs Contains numerous examples from business, medicine, engineering, and the social sciences Provides the example code for R, Stata, and WinBUGS to encourage implementation of the methods Offers the data sets and solutions to the exercises online Describes the components of good statistical practice to improve scientific validity and reproducibility of results. Using popular statistical software programs, this concise and accessible text illustrates practical approaches to estimation, model fitting, and model comparisons.

Introduction to Statistical Modelling (Paperback, 1983 ed.): Annette J. Dobson Introduction to Statistical Modelling (Paperback, 1983 ed.)
Annette J. Dobson
R1,423 Discovery Miles 14 230 Ships in 10 - 15 working days

This book is about generalized linear models as described by NeIder and Wedderburn (1972). This approach provides a unified theoretical and computational framework for the most commonly used statistical methods: regression, analysis of variance and covariance, logistic regression, log-linear models for contingency tables and several more specialized techniques. More advanced expositions of the subject are given by McCullagh and NeIder (1983) and Andersen (1980). The emphasis is on the use of statistical models to investigate substantive questions rather than to produce mathematical descriptions of the data. Therefore parameter estimation and hypothesis testing are stressed. I have assumed that the reader is familiar with the most commonly used statistical concepts and methods and has some basic knowledge of calculus and matrix algebra. Short numerical examples are used to illustrate the main points. In writing this book I have been helped greatly by the comments and criticism of my students and colleagues, especially Anne Young. However, the choice of material, and the obscurities and errors are my responsibility and I apologize to the reader for any irritation caused by them. For typing the manuscript under difficult conditions I am grateful to Anne McKim, Jan Garnsey, Cath Claydon and Julie Latimer.

Free Delivery
Pinterest Twitter Facebook Google+
You may like...
Jurassic World 3 - Dominion
Chris Pratt, Bryce Dallas Howard, … DVD R143 Discovery Miles 1 430
Bostik Sew Simple (25ml)
R31 Discovery Miles 310
Loot
Nadine Gordimer Paperback  (2)
R383 R310 Discovery Miles 3 100
Loot
Nadine Gordimer Paperback  (2)
R383 R310 Discovery Miles 3 100
Sony PlayStation 5 DualSense Wireless…
 (6)
R1,699 R1,399 Discovery Miles 13 990
Air Fryer - Herman's Top 100 Recipes
Herman Lensing Paperback R350 R235 Discovery Miles 2 350
Emily Henry 3-Book Collection - Book…
Emily Henry Paperback R500 R428 Discovery Miles 4 280
Bug-A-Salt 3.0 Black Fly
 (1)
R999 Discovery Miles 9 990
CritiCareŽ Sterile Gauze Swabs (75 x 75…
R3 Discovery Miles 30
KN95 Disposable Face Mask (White)(Box of…
R1,890 R659 Discovery Miles 6 590

 

Partners