in all likelihood statistical modelling and inference using likelihood

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In All Likelihood

Author : Yudi Pawitan
ISBN : 9780199671229
Genre : Mathematics
File Size : 66. 90 MB
Format : PDF
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This book introduces likelihood as a unifying concept in statistical modelling and inference. The complete range of concepts and applications are covered, from very simple to very complex studies. It relies on realistic examples, and presents the main results using heuristic rather than formal mathematical arguments.

In All Likelihood Statistical Modelling And Inference Using Likelihood

Author : CTI Reviews
ISBN : 9781478441465
Genre : Education
File Size : 22. 91 MB
Format : PDF, ePub, Docs
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Facts101 is your complete guide to In All Likelihood, Statistical Modelling and Inference Using Likelihood. In this book, you will learn topics such as More properties of likelihood, Basic models and simple applications, Frequentist properties, and Modelling relationships: regression models plus much more. With key features such as key terms, people and places, Facts101 gives you all the information you need to prepare for your next exam. Our practice tests are specific to the textbook and we have designed tools to make the most of your limited study time.

Ecological Statistics

Author : Gordon A. Fox
ISBN : 9780191652882
Genre : Science
File Size : 85. 37 MB
Format : PDF, ePub
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The application and interpretation of statistics are central to ecological study and practice. Ecologists are now asking more sophisticated questions than in the past. These new questions, together with the continued growth of computing power and the availability of new software, have created a new generation of statistical techniques. These have resulted in major recent developments in both our understanding and practice of ecological statistics. This novel book synthesizes a number of these changes, addressing key approaches and issues that tend to be overlooked in other books such as missing/censored data, correlation structure of data, heterogeneous data, and complex causal relationships. These issues characterize a large proportion of ecological data, but most ecologists' training in traditional statistics simply does not provide them with adequate preparation to handle the associated challenges. Uniquely, Ecological Statistics highlights the underlying links among many statistical approaches that attempt to tackle these issues. In particular, it gives readers an introduction to approaches to inference, likelihoods, generalized linear (mixed) models, spatially or phylogenetically-structured data, and data synthesis, with a strong emphasis on conceptual understanding and subsequent application to data analysis. Written by a team of practicing ecologists, mathematical explanations have been kept to the minimum necessary. This user-friendly textbook will be suitable for graduate students, researchers, and practitioners in the fields of ecology, evolution, environmental studies, and computational biology who are interested in updating their statistical tool kits. A companion web site provides example data sets and commented code in the R language.

Applied Mixed Models In Medicine

Author : Helen Brown
ISBN : 9781118778241
Genre : Medical
File Size : 58. 99 MB
Format : PDF, Docs
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A fully updated edition of this key text on mixed models, focusing on applications in medical research The application of mixed models is an increasingly popular way of analysing medical data, particularly in the pharmaceutical industry. A mixed model allows the incorporation of both fixed and random variables within a statistical analysis, enabling efficient inferences and more information to be gained from the data. There have been many recent advances in mixed modelling, particularly regarding the software and applications. This third edition of Brown and Prescott’s groundbreaking text provides an update on the latest developments, and includes guidance on the use of current SAS techniques across a wide range of applications. Presents an overview of the theory and applications of mixed models in medical research, including the latest developments and new sections on incomplete block designs and the analysis of bilateral data. Easily accessible to practitioners in any area where mixed models are used, including medical statisticians and economists. Includes numerous examples using real data from medical and health research, and epidemiology, illustrated with SAS code and output. Features the new version of SAS, including new graphics for model diagnostics and the procedure PROC MCMC. Supported by a website featuring computer code, data sets, and further material. This third edition will appeal to applied statisticians working in medical research and the pharmaceutical industry, as well as teachers and students of statistics courses in mixed models. The book will also be of great value to a broad range of scientists, particularly those working in the medical and pharmaceutical areas.

Statistical Modelling In Glim 4

Author : Murray A. Aitkin
ISBN : 0198524137
Genre : Mathematics
File Size : 73. 53 MB
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"This text examines the theory of statistical modelling with generalised linear models. It also looks at applications of the theory to practical problems, using the GLIM4 package"--Provided by publisher.

Statistical Techniques In Life Testing Reliability Sampling Theory And Quality Control

Author : B. N. Pandey
ISBN : UVA:X030102068
Genre : Mathematics
File Size : 46. 11 MB
Format : PDF
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Statistical Techniques in Life-Testing, Reliability, Sampling Theory and Quality Control covers recent research in the unified branches of theoretical and applied Statistics on common platform. These generally involve the concept of probability theory, prior information (Bayes and Minimax both), distribution theory, order statistics censoring, Truncation, loss and risk function, conditional distribution (sufficiency and complete sufficiency), sampling techniques using non-response techniques and Post- Stratification etc. Log-normal models in survival data, Bernoulli's trials, regression, ration under non necessarily model, CUSUM techniques in control charts, and reliability models with wide applications in other disciplines such as biology, mining and coal, industries, agriculture population, science and technology, medical sciences, research organizations, engineering, operation research, cancer institute, defense organizations, etc. are also discussed.

Probability Theory And Statistical Inference

Author : Aris Spanos
ISBN : 0521424089
Genre : Business & Economics
File Size : 88. 52 MB
Format : PDF, Kindle
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A major textbook for students taking introductory courses in probability theory and statistical inference.

Probability And Risk Analysis

Author : Igor Rychlik
ISBN : 3540242236
Genre : Mathematics
File Size : 29. 6 MB
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This text presents notions and ideas at the foundations of a statistical treatment of risks. The focus is on statistical applications within the field of engineering risk and safety analysis. Coverage includes Bayesian methods. Such knowledge facilitates the understanding of the influence of random phenomena and gives a deeper understanding of the role of probability in risk analysis. The text is written for students who have studied elementary undergraduate courses in engineering mathematics, perhaps including a minor course in statistics. This book differs from typical textbooks in its verbal approach to many explanations and examples.

Policy And Marketing Strategies For Digital Media

Author : Yu-li Liu
ISBN : 9781317744108
Genre : Social Science
File Size : 35. 86 MB
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With digital media becoming ever more prevalent, it is essential to study policy and marketing strategies tailored to this new development. In this volume, contributors examine government policy for a range of media, including digital television, IPTV, mobile TV, and OTT TV. They also address marketing strategies that can harness the unique nature of digital media’s innovation, production design, and accessibility. They draw on case studies in Asia, North America, and Europe to offer best practices for both policy and marketing strategies.

Statistical Modelling Of Survival Data With Random Effects

Author : Il Do Ha
ISBN : 9789811065576
Genre : Mathematics
File Size : 32. 28 MB
Format : PDF, ePub
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This book provides a groundbreaking introduction to the likelihood inference for correlated survival data via the hierarchical (or h-) likelihood in order to obtain the (marginal) likelihood and to address the computational difficulties in inferences and extensions. The approach presented in the book overcomes shortcomings in the traditional likelihood-based methods for clustered survival data such as intractable integration. The text includes technical materials such as derivations and proofs in each chapter, as well as recently developed software programs in R (“frailtyHL”), while the real-world data examples together with an R package, “frailtyHL” in CRAN, provide readers with useful hands-on tools. Reviewing new developments since the introduction of the h-likelihood to survival analysis (methods for interval estimation of the individual frailty and for variable selection of the fixed effects in the general class of frailty models) and guiding future directions, the book is of interest to researchers in medical and genetics fields, graduate students, and PhD (bio) statisticians.

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