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Analysis Techniques for non-Experimental Data

Analysis Techniques for non-Experimental Data: An Introduction discusses five different quasi-experimental study designs: propensity score;

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Experimental Design Techniques in Statistical Practice

reader understand, present and analyse the data. The pragmatic approach offers technical training for use of designs and teaches statistical and;

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Applied Longitudinal Data Analysis For Epidemiology

In this book the most important techniques available for longitudinal data analysis are discussed. This discussion includes simple;

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Applied Longitudinal Data Analysis For Epidemiology

This book discusses the most important techniques available for longitudinal data analysis, from simple techniques such as the paired t;

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Applied Longitudinal Data Analys Epidemi

This book discusses the most important techniques available for longitudinal data analysis, from simple techniques such as the paired t;

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Experimental Methods for Engineers

Experimental Methods for Engineers, 8/e, offers the broadest range of experimental measurement techniques available for mechanical and;

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Advanced Analysis of Variance

advanced techniques for the statistical analysis of experimental data. Dr. Hirotsu introduces the groundbreaking concept of advanced analysis;

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Surface Area and Porosity Determinations by Physisorption

the experimental method for measuring physical adsorption, various methods for analyzing the data obtained, and the theoretical background to;

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Statistics For Microarrays

well as standard data normalization and analysis techniques. Statistics for Microarrays: Design, Analysis and Inference is the first book that;

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Recent Advances in Exoerimental Mechanics, Volume 1

; optical techniques in experimental mechanics; automatic data acquisition and processing; transient phenomena and vibrations analysis; and residual;

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Experimental Methods For Engineers

in mechanical, chemical and electrical engineering departments. It offers a broad scope of experimental measurement techniques for mechanical and;

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Tensor Computation for Data Analysis

in classical matrix computation-based data analysis. This book is intended to provide non-specialists an overall understanding;

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Data Analysis

Written at a level appropriate for the advanced undergraduate course on data analysis, this accessible volume introduces the reader to the;

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Statistics For The Biosciences

Statistical techniques for the presentation and analysis of biological data are indispensable tools for the biologist. The purpose of this;

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Quantitative Data Analysis with Minitab

reliant on computers for the analysis of data. Quantitative Data Analysis with Minitab explains statistical tests for Minitab users using the same;

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Analysing Quantitative Data

. Using two multidisciplinary non-experimental datasets throughout, the book demonstrates that data analysis is really an active dialogue between;

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Measurement Techniques for Mechanical Engineers

acquisition system, experimental data representation and error analysis is also presented. Each topic is dealt in a lucid manner for better;

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Experimental Design and Statistical Analysis for Pharmacology and the Biomedical Sciences

Sciences provides clear instructions on applying statistical analysis techniques to pharmacological data. Written by an experimental pharmacologist;

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Visual Psychophysics

A comprehensive treatment of the skills and techniques needed for visual psychophysics, from basic tools to sophisticated data analysis;

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A Guide to Experimental Algorithmics

methods work best for specific machines or problems. This book guides the reader through the nuts and bolts of the major experimental questions;

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Cellular Signal Transduction in Toxicology and Pharmacology

for informatics, big data, and complex data sets. Combines fundamentals / basics with experimental applications that can help those;

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Multivariate Data Analysis

For graduate-level courses in Marketing Research, Research Design and Data Analysis . Well-suited for the non-statistician, this;

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Multivariate Data Analysis

perspectives and techniques that are foundational in today's world of analytics. Multivariate Data Analysis serves as the perfect companion for;

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Introductory Probability and Statistics

introduces probability, statistical techniques, data analysis, hypothesis testing, experimental design, sampling methods, nonparametric tests and;

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Research Methods and Techniques in Public Relations and Advertising

selection for beginner researchers. The articles focus on various methods such as netnographical analysis, experimental study, case analysis;

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Robust Methods for Data Reduction

Robust Methods for Data Reduction gives a non-technical overview of robust data reduction techniques, encouraging the use of these;

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Robust Methods for Data Reduction

Robust Methods for Data Reduction gives a non-technical overview of robust data reduction techniques, encouraging the use of these;

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