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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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Handbook of Statistical Distributions with Applications

Easy-to-Use Reference and Software for Statistical Modeling and Testing Handbook of Statistical Distributions with Applications;

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Handbook of Statistical Distributions with Applications

Easy-to-Use Reference and Software for Statistical Modeling and Testing Handbook of Statistical Distributions with Applications, Second;

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Mathematical Statistics

Presents a unified approach to parametric estimation, confidence intervals, hypothesis testing, and statistical modeling, which are;

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Confidence Intervals in Generalized Regression Models

generalized regression model (GRM)-of various types of regression models. It also uses a likelihood-based approach for performing statistical;

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Confidence Intervals in Generalized Regression Models

generalized regression model (GRM)-of various types of regression models. It also uses a likelihood-based approach for performing statistical;

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Statistical Tolerance Regions

monitoring. Statistical Tolerance Regions presents the theoretical development of tolerance intervals and tolerance regions through computational;

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Advanced Linear Models

This work details the statistical inference of linear models including parameter estimation, hypothesis testing, confidence intervals, and;

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Statistical Analysis of Contingency Tables

Statistical Analysis of Contingency Tables is an invaluable tool for statistical inference in contingency tables. It covers effect size;

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Statistical Analysis of Contingency Tables

Statistical Analysis of Contingency Tables is an invaluable tool for statistical inference in contingency tables. It covers effect size;

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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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Data Science Tools

Microsoft Excel, KNIME, R, and OpenOffice (Spreadsheet). Each of these tools will be used to apply statistical concepts including confidence;

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Pediatric Reference Intervals

, Type of Specimen, References, Statistical Basis and Population Sources. Provides the reference intervals for a wide variety;

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Confidence Intervals for Proportions and Related Measures of Effect Size

understanding of what happens when these statistical methods are applied in situations far removed from the familiar Gaussian case. Drawing on;

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Confidence Intervals for Proportions and Related Measures of Effect Size

understanding of what happens when these statistical methods are applied in situations far removed from the familiar Gaussian case. Drawing on his;

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Engineering Statistics

Montgomery, Runger, and Hubele provide modern coverage of engineering statistics, focusing on how statistical tools are integrated into the;

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Computational Methods in Biometric Authentication

accounts to military installations. Yet developments in this field have not been matched by an equivalent improvement in the statistical methods;

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Sampling and Statistical Methods for Behavioral Ecologists

This 1998 book describes the sampling and statistical methods used most often by behavioral ecologists and field biologists. Written by a;

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Sampling and Statistical Methods for Behavioral Ecologists

This 1998 book describes the sampling and statistical methods used most often by behavioral ecologists and field biologists. Written by a;

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Student Solutions Manual Engineering Statistics, 5e

Montgomery, Runger, and Hubele provide modern coverage of engineering statistics, focusing on how statistical tools are integrated into the;

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Exact Statistical Methods for Data Analysis

This book covers some recent developments in statistical inference. The author's main aim is to develop a theory of generalized p-values;

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The Signed Distance Measure in Fuzzy Statistical Analysis

of interest to all researchers whose work involves advanced fuzzy statistical methods.;

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Probability and Statistics for Science and Engineering with Examples in R

statistics, calculate probabilities and quantiles, find confidence intervals, and conduct statistical testing. The first chapter introduces;

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Statistical Methods For Six Sigma

A guide to achieving business successes through statistical methods Statistical methods are a key ingredient in providing data-based;

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Survival Analysis for Epidemiologic and Medical Research

data with the help of modern computer systems. The introduction presents a review of a variety of statistical methods that are not only key;

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Statistics in Plain English

' Theorem and statistical independence, probability distributions, confidence intervals, and analysis of variance.;

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Statistical Inference via Data Science: A ModernDive into R and the Tidyverse

Statistical Inference via Data Science: A ModernDive into R and the Tidyverse provides a pathway for learning about statistical inference;

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