Statistical Design - Chemometrics

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Publisher : Elsevier
ISBN 13 : 0080462138
Total Pages : 423 pages
Book Rating : 4.0/5 (84 download)

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Book Synopsis Statistical Design - Chemometrics by : Roy E Bruns

Download or read book Statistical Design - Chemometrics written by Roy E Bruns and published by Elsevier. This book was released on 2006-01-27 with total page 423 pages. Available in PDF, EPUB and Kindle. Book excerpt: Statistical Design-Chemometrics is applicable to researchers and professionals who wish to perform experiments in chemometrics and carry out analysis of the data in the most efficient way possible. The language is clear, direct and oriented towards real applications. The book provides 106 exercises with answers to accompany the study of theoretical principles. Forty two cases studies with real data are presented showing designs and the complete statistical analyses for problems in the areas chromatography, electroanalytical and electrochemistry, calibration, polymers, gas adsorption, semiconductors, food technology, biotechnology, photochemistry, catalysis, detergents and ceramics. These studies serve as a guide that the reader can use to perform correct data analyses.-Provides 42 case studies containing step-by-step descriptions of calculational procedures that can be applied to most real optimization problems-Contains 106 theoretical exercises to test individual learning and to provide classroom exercises and material for written tests and exams-Written in a language that facilitates learning for physical and biological scientists and engineers-Takes a practical approach for those involved in industrial optimization problems

Experimental Design

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Publisher : Elsevier
ISBN 13 : 0080868304
Total Pages : 301 pages
Book Rating : 4.0/5 (88 download)

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Book Synopsis Experimental Design by : S.N. Deming

Download or read book Experimental Design written by S.N. Deming and published by Elsevier. This book was released on 1987-01-01 with total page 301 pages. Available in PDF, EPUB and Kindle. Book excerpt: Now available in a paperback edition is a book which has been described as ``...an exceptionally lucid, easy-to-read presentation... would be an excellent addition to the collection of every analytical chemist. I recommend it with great enthusiasm.'' (Analytical Chemistry). Unlike most current textbooks, it approaches experimental design from the point of view of the experimenter, rather than that of the statistician. As the reviewer in `Analytical Chemistry' went on to say: ``Deming and Morgan should be given high praise for bringing the principles of experimental design to the level of the practicing analytical chemist.''.The book first introduces the reader to the fundamentals of experimental design. Systems theory, response surface concepts, and basic statistics serve as a basis for the further development of matrix least squares and hypothesis testing. The effects of different experimental designs and different models on the variance-covariance matrix and on the analysis of variance (ANOVA) are extensively discussed. Applications and advanced topics (such as confidence bands, rotatability, and confounding) complete the text. Numerous worked examples are presented.The clear and practical approach adopted by the authors makes the book applicable to a wide audience. It will appeal particularly to those with a practical need (scientists, engineers, managers, research workers) who have completed their formal education but who still need to know efficient ways of carrying out experiments. It will also be an ideal text for advanced undergraduate and graduate students following courses in chemometrics, data acquisition and treatment, and design of experiments.

Handbook of Quantitative Science and Technology Research

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Publisher : Springer Science & Business Media
ISBN 13 : 9781402027024
Total Pages : 824 pages
Book Rating : 4.0/5 (27 download)

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Book Synopsis Handbook of Quantitative Science and Technology Research by : Henk F. Moed

Download or read book Handbook of Quantitative Science and Technology Research written by Henk F. Moed and published by Springer Science & Business Media. This book was released on 2004-09-10 with total page 824 pages. Available in PDF, EPUB and Kindle. Book excerpt: This handbook offers a state-of-the-art overview of quantitative science and technology research. It focuses on the development and application of indicators derived from data on scientific or scholarly publications and patents. It comprises 34 chapters written by leading specialists in the various sub-domains. These chapters deal with theoretical and methodological issues, illustrate applications, and highlight their policy context and relevance. Authors present a survey of the research topics they address, and show their most recent achievements. The 34 chapters are arranged into 5 parts: Disciplinary Approaches; General Methodology; The Science System; The Technology System; and The Science–Technology Interface. The Editor’s Introduction provides a further specification of the handbook’s scope and of the main topics addressed in its chapters. This handbook aims at four distinct groups of readers: – practitioners in the field of science and technology studies; – research students in this field; – scientists, scholars and technicians who are interested in a systematic, thorough analysis of their activities; – policy makers and administrators who wish to be informed about the potentialities and limitations of the various approaches and about their results.

Mathematical and Statistical Methods in Food Science and Technology

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Publisher : John Wiley & Sons
ISBN 13 : 1118433688
Total Pages : 540 pages
Book Rating : 4.1/5 (184 download)

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Book Synopsis Mathematical and Statistical Methods in Food Science and Technology by : Daniel Granato

Download or read book Mathematical and Statistical Methods in Food Science and Technology written by Daniel Granato and published by John Wiley & Sons. This book was released on 2014-03-03 with total page 540 pages. Available in PDF, EPUB and Kindle. Book excerpt: Mathematical and Statistical Approaches in Food Science and Technology offers an accessible guide to applying statistical and mathematical technologies in the food science field whilst also addressing the theoretical foundations. Using clear examples and case-studies by way of practical illustration, the book is more than just a theoretical guide for non-statisticians, and may therefore be used by scientists, students and food industry professionals at different levels and with varying degrees of statistical skill.

Data Science and Social Research

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Publisher : Springer
ISBN 13 : 3319554778
Total Pages : 292 pages
Book Rating : 4.3/5 (195 download)

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Book Synopsis Data Science and Social Research by : N. Carlo Lauro

Download or read book Data Science and Social Research written by N. Carlo Lauro and published by Springer. This book was released on 2017-11-17 with total page 292 pages. Available in PDF, EPUB and Kindle. Book excerpt: This edited volume lays the groundwork for Social Data Science, addressing epistemological issues, methods, technologies, software and applications of data science in the social sciences. It presents data science techniques for the collection, analysis and use of both online and offline new (big) data in social research and related applications. Among others, the individual contributions cover topics like social media, learning analytics, clustering, statistical literacy, recurrence analysis and network analysis. Data science is a multidisciplinary approach based mainly on the methods of statistics and computer science, and its aim is to develop appropriate methodologies for forecasting and decision-making in response to an increasingly complex reality often characterized by large amounts of data (big data) of various types (numeric, ordinal and nominal variables, symbolic data, texts, images, data streams, multi-way data, social networks etc.) and from diverse sources. This book presents selected papers from the international conference on Data Science & Social Research, held in Naples, Italy in February 2016, and will appeal to researchers in the social sciences working in academia as well as in statistical institutes and offices.

The Career of a Research Statistician

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Publisher : Springer Nature
ISBN 13 : 3030394344
Total Pages : 217 pages
Book Rating : 4.0/5 (33 download)

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Book Synopsis The Career of a Research Statistician by : Shelemyahu Zacks

Download or read book The Career of a Research Statistician written by Shelemyahu Zacks and published by Springer Nature. This book was released on 2020-03-13 with total page 217 pages. Available in PDF, EPUB and Kindle. Book excerpt: This monograph highlights the connection between the theoretical work done by research statisticians and the impact that work has on various industries. Drawing on decades of experience as an industry consultant, the author details how his contributions have had a lasting impact on the field of statistics as a whole. Aspiring statisticians and data scientists will be motivated to find practical applications for their knowledge, as they see how such work can yield breakthroughs in their field. Each chapter highlights a consulting position the author held that resulted in a significant contribution to statistical theory. Topics covered include tracking processes with change points, estimating common parameters, crossing fields with absorption points, military operations research, sampling surveys, stochastic visibility in random fields, reliability analysis, applied probability, and more. Notable advancements within each of these topics are presented by analyzing the problems facing various industries, and how solving those problems contributed to the development of the field. The Career of a Research Statistician is ideal for researchers, graduate students, or industry professionals working in statistics. It will be particularly useful for up-and-coming statisticians interested in the promising connection between academia and industry.

Statistical Methods in Food and Consumer Research

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Publisher : Academic Press
ISBN 13 : 0080920330
Total Pages : 868 pages
Book Rating : 4.0/5 (89 download)

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Book Synopsis Statistical Methods in Food and Consumer Research by : Maximo C. Gacula Jr.

Download or read book Statistical Methods in Food and Consumer Research written by Maximo C. Gacula Jr. and published by Academic Press. This book was released on 2008-12-01 with total page 868 pages. Available in PDF, EPUB and Kindle. Book excerpt: Statistical Methods in Food and Consumer Research, Second Edition, continues to be the only book to focus solely on the statistical techniques used in sensory testing of foods, pharmaceuticals, cosmetics, and other consumer products. This new edition includes the most recent applications of statistical methods, and features significant updates as well as two new chapters. Covering the application of techniques including R-index, the Bayesian approach for sensory differences tests, and preference mapping in addition to several other methodologies, this is the comprehensive reference needed by those studying sensory evaluation and applied statistics in agriculture and biological sciences. Research professionals working with food, beverages, healthcare, cosmetics, and other related areas will find the book a valuable guide to the variety of statistical methods available. - Provides comprehensive coverage of statistical techniques in sensory testing - Includes data compiled from real-world experiments - Covers the latest in data interpretation and analysis - Addresses key methods such as R-index, Thursonian Discriminal Distances, group sequential tests, beta-binomial tests, sensory difference and similarity tests, just-about-right data, signal-to-noise ratio, analysis of cosmetic data, Descriptive Analysis, claims substantiation and preference mapping

Probability with Applications in Engineering, Science, and Technology

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Publisher : Springer
ISBN 13 : 3319524011
Total Pages : 664 pages
Book Rating : 4.3/5 (195 download)

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Book Synopsis Probability with Applications in Engineering, Science, and Technology by : Matthew A. Carlton

Download or read book Probability with Applications in Engineering, Science, and Technology written by Matthew A. Carlton and published by Springer. This book was released on 2017-03-30 with total page 664 pages. Available in PDF, EPUB and Kindle. Book excerpt: This updated and revised first-course textbook in applied probability provides a contemporary and lively post-calculus introduction to the subject of probability. The exposition reflects a desirable balance between fundamental theory and many applications involving a broad range of real problem scenarios. It is intended to appeal to a wide audience, including mathematics and statistics majors, prospective engineers and scientists, and those business and social science majors interested in the quantitative aspects of their disciplines. The textbook contains enough material for a year-long course, though many instructors will use it for a single term (one semester or one quarter). As such, three course syllabi with expanded course outlines are now available for download on the book’s page on the Springer website. A one-term course would cover material in the core chapters (1-4), supplemented by selections from one or more of the remaining chapters on statistical inference (Ch. 5), Markov chains (Ch. 6), stochastic processes (Ch. 7), and signal processing (Ch. 8—available exclusively online and specifically designed for electrical and computer engineers, making the book suitable for a one-term class on random signals and noise). For a year-long course, core chapters (1-4) are accessible to those who have taken a year of univariate differential and integral calculus; matrix algebra, multivariate calculus, and engineering mathematics are needed for the latter, more advanced chapters. At the heart of the textbook’s pedagogy are 1,100 applied exercises, ranging from straightforward to reasonably challenging, roughly 700 exercises in the first four “core” chapters alone—a self-contained textbook of problems introducing basic theoretical knowledge necessary for solving problems and illustrating how to solve the problems at hand – in R and MATLAB, including code so that students can create simulations. New to this edition • Updated and re-worked Recommended Coverage for instructors, detailing which courses should use the textbook and how to utilize different sections for various objectives and time constraints • Extended and revised instructions and solutions to problem sets • Overhaul of Section 7.7 on continuous-time Markov chains • Supplementary materials include three sample syllabi and updated solutions manuals for both instructors and students

Data-Driven Science and Engineering

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Publisher : Cambridge University Press
ISBN 13 : 1009098489
Total Pages : 615 pages
Book Rating : 4.0/5 (9 download)

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Book Synopsis Data-Driven Science and Engineering by : Steven L. Brunton

Download or read book Data-Driven Science and Engineering written by Steven L. Brunton and published by Cambridge University Press. This book was released on 2022-05-05 with total page 615 pages. Available in PDF, EPUB and Kindle. Book excerpt: A textbook covering data-science and machine learning methods for modelling and control in engineering and science, with Python and MATLAB®.

Careers in Science and Technology

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Publisher : National Academies Press
ISBN 13 : 0309175909
Total Pages : 194 pages
Book Rating : 4.3/5 (91 download)

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Book Synopsis Careers in Science and Technology by : National Research Council

Download or read book Careers in Science and Technology written by National Research Council and published by National Academies Press. This book was released on 1996-02-16 with total page 194 pages. Available in PDF, EPUB and Kindle. Book excerpt: Every industrialized country is concerned with maintaining an adequate supply of individuals interested in careers in science and technology, yet little is known about these efforts outside national borders. This book represents the proceedings of an international conference on Trends in Science and Technology Careers, held in Brussels in 1993. Organized at the behest of OSEP and the OIA Committee on International Organizations and Programs, in cooperation with the European Commission (DG XII) and in response to a resolution of the International Council of Scientific Unions, the conference identified international data on career trends, assessed the research base engaged in studying science and technology careers, and identified ways in which international organizations could promote greater interest in science and technology human resource development. The conference laid the groundwork for continuing international discussions about the best ways to study and promote careers in science and technology and national dialogues about the ways to integrate this knowledge into human resources policies.

Data Science

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Publisher : MIT Press
ISBN 13 : 0262535432
Total Pages : 282 pages
Book Rating : 4.2/5 (625 download)

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Book Synopsis Data Science by : John D. Kelleher

Download or read book Data Science written by John D. Kelleher and published by MIT Press. This book was released on 2018-04-13 with total page 282 pages. Available in PDF, EPUB and Kindle. Book excerpt: A concise introduction to the emerging field of data science, explaining its evolution, relation to machine learning, current uses, data infrastructure issues, and ethical challenges. The goal of data science is to improve decision making through the analysis of data. Today data science determines the ads we see online, the books and movies that are recommended to us online, which emails are filtered into our spam folders, and even how much we pay for health insurance. This volume in the MIT Press Essential Knowledge series offers a concise introduction to the emerging field of data science, explaining its evolution, current uses, data infrastructure issues, and ethical challenges. It has never been easier for organizations to gather, store, and process data. Use of data science is driven by the rise of big data and social media, the development of high-performance computing, and the emergence of such powerful methods for data analysis and modeling as deep learning. Data science encompasses a set of principles, problem definitions, algorithms, and processes for extracting non-obvious and useful patterns from large datasets. It is closely related to the fields of data mining and machine learning, but broader in scope. This book offers a brief history of the field, introduces fundamental data concepts, and describes the stages in a data science project. It considers data infrastructure and the challenges posed by integrating data from multiple sources, introduces the basics of machine learning, and discusses how to link machine learning expertise with real-world problems. The book also reviews ethical and legal issues, developments in data regulation, and computational approaches to preserving privacy. Finally, it considers the future impact of data science and offers principles for success in data science projects.

Science & Engineering Indicators

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Publisher :
ISBN 13 :
Total Pages : 492 pages
Book Rating : 4.3/5 ( download)

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Book Synopsis Science & Engineering Indicators by :

Download or read book Science & Engineering Indicators written by and published by . This book was released on 2000 with total page 492 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Data Analysis for the Life Sciences with R

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Publisher : CRC Press
ISBN 13 : 1498775861
Total Pages : 537 pages
Book Rating : 4.4/5 (987 download)

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Book Synopsis Data Analysis for the Life Sciences with R by : Rafael A. Irizarry

Download or read book Data Analysis for the Life Sciences with R written by Rafael A. Irizarry and published by CRC Press. This book was released on 2016-10-04 with total page 537 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book covers several of the statistical concepts and data analytic skills needed to succeed in data-driven life science research. The authors proceed from relatively basic concepts related to computed p-values to advanced topics related to analyzing highthroughput data. They include the R code that performs this analysis and connect the lines of code to the statistical and mathematical concepts explained.

Spatial Statistics and Geostatistics

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Publisher : SAGE
ISBN 13 : 1446272117
Total Pages : 201 pages
Book Rating : 4.4/5 (462 download)

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Book Synopsis Spatial Statistics and Geostatistics by : Yongwan Chun

Download or read book Spatial Statistics and Geostatistics written by Yongwan Chun and published by SAGE. This book was released on 2013-01-11 with total page 201 pages. Available in PDF, EPUB and Kindle. Book excerpt: "Ideal for anyone who wishes to gain a practical understanding of spatial statistics and geostatistics. Difficult concepts are well explained and supported by excellent examples in R code, allowing readers to see how each of the methods is implemented in practice" - Professor Tao Cheng, University College London Focusing specifically on spatial statistics and including components for ArcGIS, R, SAS and WinBUGS, this book illustrates the use of basic spatial statistics and geostatistics, as well as the spatial filtering techniques used in all relevant programs and software. It explains and demonstrates techniques in: spatial sampling spatial autocorrelation local statistics spatial interpolation in two-dimensions advanced topics including Bayesian methods, Monte Carlo simulation, error and uncertainty. It is a systematic overview of the fundamental spatial statistical methods used by applied researchers in geography, environmental science, health and epidemiology, population and demography, and planning. A companion website includes digital R code for implementing the analyses in specific chapters and relevant data sets to run the R codes.

International Science and Technology Education

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Publisher : Routledge
ISBN 13 : 1317500210
Total Pages : 273 pages
Book Rating : 4.3/5 (175 download)

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Book Synopsis International Science and Technology Education by : Ortwin Renn

Download or read book International Science and Technology Education written by Ortwin Renn and published by Routledge. This book was released on 2015-06-24 with total page 273 pages. Available in PDF, EPUB and Kindle. Book excerpt: Education in science, technology, engineering and mathematics (STEM) is crucial for taking advantage of the prospects of new scientific discoveries initiating or promoting technological changes, and managing opportunities and risks associated with innovations. This book explores the emerging perspectives and methodologies of STEM education and its relationship to the cultural understanding of science and technology in an international context. The authors provide a unique perspective on the subject, presenting materials and experiences from non-European industrialized as well as industrializing countries, including China, Japan, South Korea, India, Egypt, Brazil and the USA. The chapters offer a wide scope of interpretations and comparative reviews of STEM education by including narrative elements about cultural developments, considering the influence of culture and social perceptions on technological and social change, and applying innovative tools of qualitative social research. The book represents a comprehensive and multidisciplinary review of the current status and future challenges facing STEM education across the world, including issues such as globalization, interdependencies of norms and values, effects on equity and social justice as well as resilience. Overall the volume provides valuable insights for a broad and comprehensive international comparison of STEM philosophies, approaches and experiences.

Easy Statistics for Food Science with R

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Publisher : Academic Press
ISBN 13 : 0128142634
Total Pages : 229 pages
Book Rating : 4.1/5 (281 download)

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Book Synopsis Easy Statistics for Food Science with R by : Abbas F.M. Alkarkhi

Download or read book Easy Statistics for Food Science with R written by Abbas F.M. Alkarkhi and published by Academic Press. This book was released on 2018-09-18 with total page 229 pages. Available in PDF, EPUB and Kindle. Book excerpt: Easy Statistics for Food Science with R presents the application of statistical techniques to assist students and researchers who work in food science and food engineering in choosing the appropriate statistical technique. The book focuses on the use of univariate and multivariate statistical methods in the field of food science. The techniques are presented in a simplified form without relying on complex mathematical proofs. This book was written to help researchers from different fields to analyze their data and make valid decisions. The development of modern statistical packages makes the analysis of data easier than before. The book focuses on the application of statistics and correct methods for the analysis and interpretation of data. R statistical software is used throughout the book to analyze the data. - Contains numerous step-by-step tutorials help the reader to learn quickly - Covers the theory and application of the statistical techniques - Shows how to analyze data using R software - Provides R scripts for all examples and figures

Encyclopedia of Computer Science and Technology

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Publisher : CRC Press
ISBN 13 : 9780824722739
Total Pages : 446 pages
Book Rating : 4.7/5 (227 download)

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Book Synopsis Encyclopedia of Computer Science and Technology by : Allen Kent

Download or read book Encyclopedia of Computer Science and Technology written by Allen Kent and published by CRC Press. This book was released on 1990-08-20 with total page 446 pages. Available in PDF, EPUB and Kindle. Book excerpt: "This comprehensive reference work provides immediate, fingertip access to state-of-the-art technology in nearly 700 self-contained articles written by over 900 international authorities. Each article in the Encyclopedia features current developments and trends in computers, software, vendors, and applications...extensive bibliographies of leading figures in the field, such as Samuel Alexander, John von Neumann, and Norbert Wiener...and in-depth analysis of future directions."