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Statistical Analysis of Contingency Tables

estimation, confidence intervals, and hypothesis tests for the binomial and the multinomial distributions, unpaired and paired 2x2 tables, rxc tables;

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Statistical Analysis of Contingency Tables

estimation, confidence intervals, and hypothesis tests for the binomial and the multinomial distributions, unpaired and paired 2x2 tables, rxc tables;

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Business Statistics MCQs

, hypergeometric distribution, calculating moments, Chebyshev theorem, class width in statistics, classification and cluster sampling, confidence interval;

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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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Confidence Intervals for Proportions and Related Measures of Effect Size

Confidence Intervals for Proportions and Related Measures of Effect Size illustrates the use of effect size measures and corresponding;

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Confidence Intervals for Proportions and Related Measures of Effect Size

Confidence Intervals for Proportions and Related Measures of Effect Size illustrates the use of effect size measures and corresponding;

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Statistical Tables

third edition features: two tables for critical values of the delta-corrected one-sample Kolmogorov-Smirnov test; shortest unbiased confidence;

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Statistical Tolerance Regions

intervals for binomial and Poisson distributions, and tolerance intervals based on censored samples. Theoretical explanations are accompanied by;

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Sample Size Determination and Power

A comprehensive approach to sample size determination and power with applications for a variety of fields Sample Size Determination and;

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Statistical Methods For Rates And Proportions

applications of sample size tables; and contains a new section on binomial distribution.;

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Common Errors In Statistics (And How To Avoid Them)

The Fourth Edition of this tried-and-true book elaborates on many key topics such as epidemiological studies, distribution of data;

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Partitions, Hypergeometric Systems, and Dirichlet Processes in Statistics

conditional distribution of Gibbs partition given the length. The A-hypergeometric distribution is a class of discrete exponential families and;

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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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Understanding Statistical Error

should be applied in biological research. Understanding Statistical Error - A Primer for Biologists: * Introduces the essential topic of error;

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Statistical Intervals

popular binomial, Poisson and normal distributions * Statistical intervals for Bayesian hierarchical models * Advanced case studies, further;

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Sample Sizes for Clinical, Laboratory and Epidemiology Studies

size for their when planned study. The book contains sets of sample size tables with companion explanations and clear worked out examples based;

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Analysis of Variance via Confidence Intervals

confidence intervals. The chapters have been organized to fit onto a typical lecture programme and is well-structured and practical, invaluable for;

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Data Science Tools

application tools along with the processes for downloading and using them in the most optimum fashion. The content includes data analysis using;

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Applied Statistical Science III

Uncertain Restrictions; Testing Normality For Censored Data; Large Sample theory For Estimators of the Moments Based On Synthetic Data Under;

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Biostatistics

confidence intervals, margins of error, and one-sided p-values-in Bayesian terms. Topics covered include: Probability and subjective probability;

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Design and Analysis of Gauge R&R Studies

Provides a protocol for conducting gauge repeatability and reproducibility (R&R) experiments, which are required whenever a new test system;

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Linear Model Theory

A precise and accessible presentation of linear model theory, illustrated with data examples Statisticians often use linear models for data;

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Sample Size Calculations in Clinical Research

Praise for the Second Edition: ... this is a useful, comprehensive compendium of almost every possible sample size formula. The strong;

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Sample Size Calculations in Clinical Research

Praise for the Second Edition: ... this is a useful, comprehensive compendium of almost every possible sample size formula. The strong;

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