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This book addresses statistical challenges posed by inaccurately measuring explanatory variables, a common problem in biostatistics and epidemiology. ...Savoir plus
Pedagogical Grammar and Grammar Pedagogy in Chinese as a Second Language is the first book in the field of Chinese as a second language that brings to...Savoir plus
Modern Directional Statistics collects important advances in methodology and theory for directional statistics over the last two decades. It provides ...Savoir plus
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Model-based Geostatistics for Global Public Health: Methods and Applications provides an introductory account of model-based geostatistics, its implem...Savoir plus
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Modern Directional Statistics collects important advances in methodology and theory for directional statistics over the last two decades. It provides ...Savoir plus
Since the publication of the second edition, many new Bayesian tools and methods have been developed for space-time data analysis, the predictive mode...Savoir plus
Mendelian Randomization: Methods For Causal Inference Using Genetic Variants provides thorough coverage of the methods and practical elements of Mende...Savoir plus
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Missing data pose challenges to real-life data analysis. Simple ad-hoc fixes, like deletion or mean imputation, only work under highly restrictive con...Savoir plus
Novel Statistical Tools for Conserving and Managing Populations By gathering information on key demographic parameters, scientists can often predict h...Savoir plus
This new edition of a bestseller provides a nontechnical and thoroughly up-to-date review of methods and issues related to clinical trials. The author...Savoir plus
This book collects important advances in methodology and data analysis for directional statistics. It is the companion book of the more theoretical tr...Savoir plus
This work describes the impacts of measurement errors on naive analyses that ignore them and presents ways to correct for them across a variety of sta...Savoir plus
Statistical and mathematical models are defined by parameters that describe different characteristics of those models. This book explains why paramete...Savoir plus
Statistical Analysis of Questionnaires: A Unified Approach Based on R and Stata presents special statistical methods for analyzing data collected by q...Savoir plus
Presents the Terminology and Methods of Mendelian Randomization for Epidemiological Studies Mendelian randomization uses genetic instrumental variable...Savoir plus
Statistical investigation into technology not only provides a better understanding of the intrinsic features of the technology (analysis), but also le...Savoir plus
An important first step in studying the demography of wild animals is to identify the animals uniquely through applying markings, such as rings, tags,...Savoir plus
Certain algorithms that are known to converge can be renormalized or 'blown up' at each iteration so that their local behavior can be seen. This creat...Savoir plus
Describing tools commonly used in the field, this textbook provides an understanding of a broad range of analytical tools required to solve transporta...Savoir plus
Generalized Linear Models (GLMs) allow many statistical analyses to be extended to important statistical distributions other than the Normal distribut...Savoir plus
Compositional data are quantitative descriptions of the parts of some whole, conveying exclusively relative information. Examples are found in various...Savoir plus