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Analyzing Sensory Data with R

Choose the Proper Statistical Method for Your Sensory Data Issue Analyzing Sensory Data with R gives you the foundation to analyze and;

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Processing and Analyzing Financial Data with R

Processing and Analyzing Financial Data with R is een boek van Marcelo S Perlin;

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Statistical Methods in Food and Consumer Research

including R-index, the Bayesian approach for sensory differences tests, and preference mapping in addition to several other methodologies, this;

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Analyzing High-Dimensional Gene Expression and DNA Methylation Data with R

Analyzing high-dimensional gene expression and DNA methylation data with R is the first practical book that shows a ``pipeline;

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Analyzing High-Dimensional Gene Expression and DNA Methylation Data with R

Analyzing high-dimensional gene expression and DNA methylation data with R is the first practical book that shows a ``pipeline;

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Discrimination Testing in Sensory Science

, action standards, and the statistical analysis of results with R. The book is written by sensory science experts from both academia and;

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Chemometrics

, organization and reduction of chemical and sensory data. It explains chemical, sensory and multivariate analysis tools and their application. Pertinent;

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Data Analysis for the Life Sciences with R

This book covers several of the statistical concepts and data analytic skills needed to succeed in data-driven life science research. The;

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Data Analysis for the Life Sciences with R

This book covers several of the statistical concepts and data analytic skills needed to succeed in data-driven life science research. The;

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Novel Techniques in Sensory Characterization and Consumer Profiling

with trained assessors has been traditionally used for sensory characterization. Due to the cost of time and money required for its application;

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Novel Techniques in Sensory Characterization and Consumer Profiling

with trained assessors has been traditionally used for sensory characterization. Due to the cost of time and money required for its application;

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Sensory and Instrumental Evaluation of Alcoholic Beverages

of data analyses with the appropriate R-codes to allow practitioners to use the book as a handbook to analyze their own data.

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Analyzing Qualitative Data

This book offers students and researchers a hands-on guide to the practicalities of coding, comparing data, and using computer-assisted;

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Statistics for Human Service Evaluation

A practical book that shows how both Excel (R) and SPSS (R) can be used for analyzing data for human service evaluation.;

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Computational Network Analysis with R: Applications in Biology, Medicine and Chemistry

data in such areas as network biology and chemoinformatics. With its easy-to-follow introduction to the theoretical background and application;

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Sensory-Directed Flavor Analysis

-extraction, Gerstel-Twister (R) and other extraction techniques in combination with gas chromatographic (GC) analysis. However, more data does not;

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Clinician's Guide for Implementing Ayres Sensory Integration (R)

This step-by-step guidebook describes the most effective, evidence-based way to implement ASI into clinical practice by using a data-driven;

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Analyzing Health Data in R for SAS Users

Analyzing Health Data in R for SAS Users is aimed at helping health data analysts who use SAS accomplish some of the same tasks in R. It;

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Biomarker Analysis in Clinical Trials with R

Early Clinical Development, Pfizer, Inc. Biomarker Analysis in Clinical Trials with R offers practical guidance to statisticians in the;

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Biomarker Analysis in Clinical Trials with R

Early Clinical Development, Pfizer, Inc. Biomarker Analysis in Clinical Trials with R offers practical guidance to statisticians in the;

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Qualitative Analysis for Planning & Policy

data. Case studies show how a mix of qualitative and quantitative r;

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Speed, Data, and Ecosystems

overall challenges that companies are grappling with: speed, data and ecosystems. Speed deals with shortening the cycle time in R&D. Data deals;

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Speed, Data, and Ecosystems

overall challenges that companies are grappling with: speed, data and ecosystems. Speed deals with shortening the cycle time in R&D. Data deals;

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Pro Data Visualization using R and JavaScript

JavaScript combines the power of the R language with the simplicity and familiarity of JavaScript to display clear and informative data;

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R For Medicine And Biology

will provide even the novice programmer with the tools necessary to process and analyze their data using the R environment. Introductory;

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Bayesian Data Analysis in Ecology Using Linear Models with R, BUGS, and Stan

Bayesian Data Analysis in Ecology Using Linear Models with R, BUGS, and STAN examines the Bayesian and frequentist methods;

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Multimodal Scene Understanding

of information and describes the role and approaches of multi-sensory data and multi-modal deep learning. The book is ideal for researchers from the;

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