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An Introduction to Statistical Inference and Its Applications with R

Emphasizing concepts rather than recipes, An Introduction to Statistical Inference and Its Applications with R provides a clear exposition;

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An Introduction to Statistical Inference and Its Applications with R

Emphasizing concepts rather than recipes, An Introduction to Statistical Inference and Its Applications with R provides a clear exposition;

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Introduction to the Theory of Statistical Inference

and important statements are formulated as guidelines in prose. With its multipronged and student-tested approach, this book is an excellent;

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Introduction to the Theory of Statistical Inference

important statements are formulated as guidelines in prose. With its multipronged and student-tested approach, this book is an excellent;

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Linear Statistical Inference And Its Applications

. Efrom Translated into six major languages of the world, C. R. Rao's Linear Statistical Inference and Its Applications is one of the foremost;

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Statistical Inference for Engineers and Data Scientists

knowledge, this textbook is the 'go-to' guide for learning about the core principles of statistical inference and its application in engineering and;

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Multivariate Statistical Inference And Applications

Statistical Inference and Applications an excellent professional resource for scientists and clinicians who need to acquaint themselves with;

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Statistical Computing with R

examples and R notes to help explain the R programming concepts. After an overview of computational statistics and an introduction to the R;

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Cure Models

Covers statistical concepts, methods and applications related to all aspects of survival analysis with cure, integration of insights gained;

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Cure Models

Covers statistical concepts, methods and applications related to all aspects of survival analysis with cure, integration of insights gained;

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Contemporary Bayesian and Frequentist Statistical Research Methods for Natural Resource Scientists

introduces the key concepts of statistical analysis and inference with an accessible, easy-to-follow approach. The book provides case studies;

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Introduction to Empirical Processes and Semiparametric Inference

of such methods. This is an authoritative text that covers all the bases, and also a friendly and gradual introduction to the area. The book can;

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Introduction to R for Terrestrial Ecology

This textbook covers R data analysis related to environmental science, starting with basic examples and proceeding up to advanced;

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Introduction to R for Terrestrial Ecology: Basics of Numerical Analysis, Mapping, Statistical Tests and Advanced Application of R

This textbook covers R data analysis related to environmental science, starting with basic examples and proceeding up to advanced;

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R In Finance And Economics

This book provides an introduction to the statistical software R and its application with an empirical approach in finance and economics;

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Modern Industrial Statistics - With Applications in R, MINITAB and JMP, 3e

Includes access to a companion website that contains an introduction to R, sample R code, csv files of all data sets, JMP add-ins, and downloadable;

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Maximum Likelihood Estimation and Inference

begins with an intuitive introduction to the concepts and background of likelihood, and moves through to the latest developments in maximum;

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Basic Statistics with R

statistical inference using R with either Windows or Macintosh machines. Features real-data to give students an engaging practice to;

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Inferential Models

A New Approach to Sound Statistical Reasoning Inferential Models: Reasoning with Uncertainty introduces the authors' recently;

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Inferential Models

A New Approach to Sound Statistical Reasoning Inferential Models: Reasoning with Uncertainty introduces the authors' recently developed;

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Introduction to Statistics and Data Analysis

Now in its second edition, this introductory statistics textbook conveys the essential concepts and tools needed to develop and nurture;

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Statistical Computing with R, Second Edition

been made in recent years. Features Provides an overview of computational statistics and an introduction to the R computing;

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An Introduction to Bootstrap Methods with Applications to R

of bootstrap methods. An introduction to R programming provides the needed preparation to work with the numerous exercises and applications presented;

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Biostatistics with R: An Introduction to Statistics Through Biological Data

Biostatistics with R is designed around the dynamic interplay among statistical methods, their applications in biology, and their;

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Nonparametric Statistical Inference

solutions to all data-oriented examples Gives examples of computer applications based on R, MINITAB, STATXACT, and SAS Lists;

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Machine Learning for Knowledge Discovery with R

Machine Learning for Knowledge Discovery with R contains methodologies and examples for statistical modelling, inference, and prediction;

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Semimartingales and their Statistical Inference

Statistical inference carries great significance in model building from both the theoretical and the applications points of view. Its;

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