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Analysing Quantitative Data: Variable-based and Case-based Approaches to Non-experimental Datasets

In covering both traditional and newer approaches, and presenting them alongside each other, and by consistently referring to two data sets;

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Analysing Quantitative Data

-based approaches side-by-side encouraging you to learn a range of approaches and to understand which is the most appropriate for your research;

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Thick Big Data

computational skills and from increasing competition from the corporate world which gains an additional advantage based on data access. However;

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Thick Big Data

computational skills and from increasing competition from the corporate world which gains an additional advantage based on data access. However;

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Computational and Statistical Methods for Analysing Big Data with Applications

statistical methods to explore, model and draw inferences from big data. This book aims to introduce suitable approaches for such endeavours;

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Anonymizing Health Data

from their efforts to de-identify hundreds of datasets. Clinical data is valuable for research and other types of analytics, but making it;

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Data-Driven and Model-Based Methods for Fault Detection and Diagnosis

approaches Demonstrates the effectiveness of the proposed strategies by conducting simulation and experimental studies on synthetic data

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Fundamentals of Advanced Omics Technologies: From Genes to Metabolites

, recent quantitative proteomics approaches, and advances in high-resolution NMR-based metabolomics, as well as MS-based non-targeted metabolomics;

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Advanced Multiresponse Process Optimisation

experimental plan based on the orthogonal arrays; the factor effects approach, which performs processing of experimental data based on Taguchi's;

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QUANTILE REGRESSION - Applications on Experimental and Cross Section Data Using EVIEWS

Data Using EViews provides examples of statistical results of various QR analyses based on experimental and cross section data of a variety;

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Scanning Transmission Electron Microscopy

processing and data interpretation for materials notoriously difficult to analyze using scanning transmission electron microscopy (STEM). It also;

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Knowledge Based Bioinformatics

to genomic and proteomic research. This book discussesknowledge-based and statistical approaches, along with applicationsin bioinformatics;

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Modern Analysis of Customer Surveys

derived from a survey. Key features: * Provides an integrated, case-studies based approach to analysing customer survey data. * Presents a general;

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Population Ecology in Practice

problems, introduce advances in analytical methods and models, and demonstrate the applications of quantitative methods to ecological data. The;

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Theoretical and Computational Approaches to Predicting Ionic Liquid Properties

integrating theoretical research with experimental data, conformations, electronic structure and non-covalent interactions, microstructures and;

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Quantitative Approaches to Grammar and Grammatical Change

snapshot of some of the work currently being done in evidence-based grammar, using both experimental and historical data.;

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ELF Research Methods and Approaches to Data and Analyses: Theoretical and Methodological Underpinnings

in analysing their data. It mainly covers three different approaches: corpus-based, both written and spoken, conversation analytic and narrative;

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Pattern Recognition Algorithms for Data Mining

theoretical and experimental results. Tasks covered include data condensation, feature selection, case generation, clustering/classification, and rule;

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Pattern Recognition Algorithms for Data Mining

theoretical and experimental results. Tasks covered include data condensation, feature selection, case generation, clustering/classification, and rule;

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Proteomics Data Analysis

This thorough book collects methods and strategies to analyze proteomics data. It is intended to describe how data obtained by gel-based or;

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Analysing Variation in English

approaches. The innovative second half of the book establishes and tests the relevance of language variation to other aspects of linguistics such as;

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Quantitative Approaches to Multidimensional Poverty Measurement

presentations of more than a dozen different quantitative techniques and provides empirical illustrations based on data sources from developed or;

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Quantitative Methods In Educational Research

; experimental approaches - a return to the gold standard; elementary parametric statistics - what do they signify?; progress via regression;

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The Book of Alternative Data

context of investing and risk management Harnessing non-traditional data sources to generate alpha, analyze markets, and forecast risk is a;

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Deconversion Revisited

studies are based on reinterviews with the Faith Development Interview and questionnaire data ten years later. The data yield insight in stability;

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Cross-National Research Methodology and Practice

reflexive and theoretically based pieces on the development of contextualization as an approach to cross-national comparative research, on;

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Latent Variable Analysis and Signal Separation

poster presentations - were carefully reviewed and selected from numerous submissions. Five special topics are addressed: tensor-based methods;

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