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Incomplete Categorical Data Design

draw valid statistical inferences from survey data with sensitive characteristics. It guides you in applying the non-randomized response;

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Incomplete Categorical Data Design

draw valid statistical inferences from survey data with sensitive characteristics. It guides you in applying the non-randomized response;

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Confidence Intervals in Generalized Regression Models

inference from statistical evidence consisting of data and its statistical model. Provides a Large Collection of Models The book encompasses;

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Confidence Intervals in Generalized Regression Models

inference from statistical evidence consisting of data and its statistical model. Provides a Large Collection of Models The book encompasses;

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Statistics

development of statistical thinking, the assessment of credibility, and value of the inferences made from data. The Twelfth Edition infuses a new;

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Ecological Inference

problems, the process of trying to infer individual behavior from aggregate data. The uncertainties and information lost in aggregation make;

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Ecological Inference

problems, the process of trying to infer individual behavior from aggregate data. The uncertainties and information lost in aggregation make;

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Statistics for Environmental Biology and Toxicology

of environmental data obtained in biological or toxicological experiments. Beginning with basic probability and statistical inferences, this text;

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Practical Statistical Methods

an extensive statistical background. In addition to nonparametric methods, it covers methods for discrete and continuous data. Omitting;

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Practical Statistical Methods

an extensive statistical background. In addition to nonparametric methods, it covers methods for discrete and continuous data. Omitting;

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Living with Uncertainty

faculty when considering statistical data and the inferences made from it; * provides opportunities for practical and investigative work.;

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Fundamentals of Statistical Inference

of statistical inference, the book provides a prudent assessment of the knowledge gain that can be obtained from a particular set of data under;

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Distribution-Free Statistical Methods, Second Edition

Distribution-free statistical methods enable users to make statistical inferences with minimum assumptions about the population in question;

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Distribution-free Statistical Methods

Distribution-free statistical methods enable users to make statistical inferences with minimum assumptions about the population;

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Statistical Data Analytics

distributions, basics of data manipulation and visualization, and the central components of standard statistical inferences. The majority of the text;

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Analyzing Census Microdata

a large number of up-to-date examples, drawing on data from the USA, the UK and a wide variety of other international contexts. I concludes;

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Stochastic Models Of Tumor Latency And Their Biostatistical Applications

This research monograph discusses newly developed mathematical models and methods that provide biologically meaningful inferences from data;

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Computational and Statistical Methods for Analysing Big Data with Applications

statistical methods to explore, model and draw inferences from big data. This book aims to introduce suitable approaches for such endeavours;

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Logic and Critical Thinking in the Biomedical Sciences

Sciences provides readers with a repertoire of deductive non-mathematical methods that will help them draw useful inferences from their own data;

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Analysis of Infectious Disease Data

. Interpretation is discussed at some length and the emphasisthroughout is on making statistical inferences about epidemiologicallyimportant;

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Analysis of Infectious Disease Data

. Interpretation is discussed at some length and the emphasisthroughout is on making statistical inferences about epidemiologicallyimportant;

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Drawing Inferences from Statistical Data

Open Learning Units offer a very flexible approach to the teaching of psychology. They are designed ;...

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Analysis of Clinical Trials Using SAS

instructions illustrated with examples from actual trials and case studies serve to define a statistical method and its relevance in a clinical trials;

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Analysis of Clinical Trials Using SAS

instructions illustrated with examples from actual trials and case studies serve to define a statistical method and its relevance in a clinical trials;

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Analysis of Clinical Trials Using SAS

instructions illustrated with examples from actual trials and case studies serve to define a statistical method and its relevance in a clinical trials;

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Drawing Inferences from Self-selected Samples

of drawing inferences from self-selected samples. This topic is of direct interest to a professional audience of survey researchers, pollsters;

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Drawing Inferences from Self-Selected Samples

of drawing inferences from self-selected samples. This topic is of direct interest to a professional audience of survey researchers, pollsters;

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