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Topics in Theoretical and Applied Statistics

, during which both methodological and applied statistical research was discussed. This selection of fully peer-reviewed papers, originally;

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Topics on Methodological and Applied Statistical Inference

This book brings together selected peer-reviewed contributions from various research fields in statistics, and highlights the diverse;

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Topics on Methodological and Applied Statistical Inference

This book brings together selected peer-reviewed contributions from various research fields in statistics, and highlights the diverse;

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From Finite Sample To Asymptotic Methods In Statistics

justified by asymptotic arguments but are still based on the concepts and principles that underlie exact statistical inference. With this;

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Likelihood and Bayesian Inference

discusses the importance of statistical models in applied quantitative research and the central role of the likelihood function, describing;

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Likelihood & Bayesian Inference

discusses the importance of statistical models in applied quantitative research and the central role of the likelihood function, describing;

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Statistical Learning and Modeling in Data Analysis

The contributions gathered in this book focus on modern methods for statistical learning and modeling in data analysis and present a series;

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Proceedings of the International Conference on Linear Statistical Inference Linstat '93

This volume contains a selection of invited and contributed papers presented at the International Conference on Linear Statistical;

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Constrained Statistical Inference

comprehend methodological resolutions. Chapter coverage includes:* Population means and isotonic regression* Inequality-constrained tests on normal;

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Aspects of Statistical Inference

Relevant, concrete, and thorough--the essential data-based text on statistical inference The ability to formulate abstract concepts and;

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Fundamentals of Statistical Inference

relating those basics to the methodological debate about inferential errors associated with p-values and statistical significance testing, readers;

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Applied Bayesian Modeling and Causal Inference from Incomplete Data Perspectives

This book brings together a collection of articles on statistical methods relating to missing data analysis, including multiple imputation;

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Introduction to the Theory of Statistical Inference

Based on the authors lecture notes, Introduction to the Theory of Statistical Inference presents concise yet complete coverage;

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Introduction to the Theory of Statistical Inference

Based on the authors' lecture notes, Introduction to the Theory of Statistical Inference presents concise yet complete coverage;

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Regression Discontinuity Designs

a wide range of methodological and practical topics. Some chapters touch on foundational methodological issues such as identification;

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Probability and Statistical Inference

Probability and Statistical Inference: From Basic Principles to Advanced Models covers aspects of probability, distribution theory, and;

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Probability and Statistical Inference

Probability and Statistical Inference: From Basic Principles to Advanced Models covers aspects of probability, distribution theory, and;

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Applied Statistical Inference with MINITAB (R), Second Edition

Applied Statistical Inference with MINITAB, Second Edition distinguishes itself from other introductory statistics textbooks by focusing on;

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Applied Statistical Inference with MINITAB®, Second Edition

Applied Statistical Inference with MINITAB, Second Edition distinguishes itself from other introductory statistics textbooks by focusing on;

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Introduction to Bayesian Statistics

of overviews and reviews of important tools used in Bayesian statistical methods. There is a strong upsurge in the use of Bayesian methods in applied;

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Advances on Methodological and Applied Aspects of Probability and Statistics

researchers on the topic, present several different subspecialties, including applied probability, models and applications, estimation and testing;

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Advances on Methodological and Applied Aspects of Probability and Statistics

researchers on the topic, present several different subspecialties, including applied probability, models and applications, estimation and testing;

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Group Invariance In Statistical Inference

In applied and pure sciences, the structural properties of groups are increasingly utilised to find better solutions in statistical;

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Statistical Inference for Fractional Diffusion Processes

developments in the area of statistical inference of fractional diffusion processes. Researchers and students working on the statistics of fractional;

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Statistical Inference

Adopting a broad view of statistical inference, this text concentrates on what various techniques do, with mathematical proofs kept to a;

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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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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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