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Interval Analysis

analysis through many examples and exercises, and guides the reader from the basics of the theory to current research topics in the mathematics;

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Data Science Tools

intervals, normal distribution, T-Tests, linear regression, histograms, and geographic analysis using real data from Federal Government sources;

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The Signed Distance Measure in Fuzzy Statistical Analysis

The main focus of this book is on presenting advances in fuzzy statistics, and on proposing a methodology for testing hypotheses in the;

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Statistical Analysis of Geographical Data

Statistics Analysis of Geographical Data: An Introduction provides a comprehensive and accessible introduction to the theory and practice;

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Statistical Analysis of Geographical Data

Statistics Analysis of Geographical Data: An Introduction provides a comprehensive and accessible introduction to the theory and practice;

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Analysis of Variance via Confidence Intervals

Analysis of variance (ANOVA) constitutes the main set of statistical methods used by students and researchers to analyse data from;

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The Analysis of Biological Data

The Analysis of Biological Data is a new approach to teaching introductory statistics to biology students. To reach this unique audience;

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Mathematical Statistics

uniquely based on the likelihood function This book addresses mathematical statistics for upper-undergraduates and first year graduate students;

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Statistical Intervals

Describes statistical intervals to quantify sampling uncertainty,focusing on key application needs and recently developed methodology in an;

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Real Analysis on Intervals

. Designed as a first course in real analysis, it helps students learn how abstract mathematical analysis solves mathematical problems that relate to;

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Statistics in Nutrition and Dietetics

analysis, and research in the context of the increasingly evidence-based field of nutrition and dietetics. Focusing on quantitative analysis and;

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Confidence Intervals in Generalized Regression Models

ratio tests. Uses Statistical Inference Package to Make Inferences on Real-Valued Parameter Functions Offering software that helps with;

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Confidence Intervals in Generalized Regression Models

ratio tests. Uses Statistical Inference Package to Make Inferences on Real-Valued Parameter Functions Offering software that helps with;

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Statistical Tolerance Regions

practice, providing a state-of-the-art treatment on tolerance intervals and tolerance regions. The book begins with the key definitions, concepts;

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Functional Analysis

This book introduces functional analysis at an elementary level without assuming any background in real analysis, for example on metric;

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Basic Data Analysis for Time Series with R

on Fourier series and Akaike's Information Criterion (AIC). In addition, Basic Data Analysis for Time Series with R also features: * Real;

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Art Of Data Analysis

A friendly and accessible approach to applying statistics in the real world With an emphasis on critical thinking, The Art of Data Analysis;

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The Design And Analysis Of Sequential Clinical Trials

analysis of the results. Emphasis is placed on the triangular test and other procedures based on straight line stopping boundaries. These methods;

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Effect Sizes For Research

book features numerous examples using real data for a variety of variables and designs, to help readers apply the material to their own data;

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Effect Sizes for Research

book features numerous examples using real data for a variety of variables and designs, to help readers apply the material to their own data;

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Statistical Methods for the Analysis of Biomedical Data

The new edition adds a chapter on multiple linear regression in biomedical research, with sections including the multiple linear;

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Analysis of Clinical Trials Using SAS

This comprehensive guide bridges the gap between modern statistical methodology and real-world clinical trial applications. Step-by-step;

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Analysis of Clinical Trials Using SAS

This comprehensive guide bridges the gap between modern statistical methodology and real-world clinical trial applications. Step-by-step;

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Analysis of Clinical Trials Using SAS

This comprehensive guide bridges the gap between modern statistical methodology and real-world clinical trial applications. Step-by-step;

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Statistics in Plain English

Designed for self-instruction, this text is intended for students to use on their own while simultaneously taking a statistics course using;

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Design and Analysis of Gauge R&R Studies

summary of methods used to construct confidence intervals in normal-based random and mixed analysis of variance (ANOVA) models, this comprehensive;

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Szego's Theorem and Its Descendants

treatment of orthogonal polynomials for measures supported on a finite number of intervals on the real line. In addition to the Szego and Killip;

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