Essentials Of Statistics For Scientists And Technologist
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Essentials Of Statistics For Scientists And Technologists
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Author : C. Mack
language : en
Publisher: Springer Science & Business Media
Release Date : 2012-12-06
Essentials Of Statistics For Scientists And Technologists written by C. Mack and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-12-06 with Computers categories.
Statistics is of ever-increasing importance in Science and Technology and this book presents the essentials of the subject in a form suitable either as the basis of a course of lectures or to be read and/or used on its own. It assumes very little in the way of mathematical knowledge-just the ability to substitute numerically in a few simple formulae. However, some mathematical proofs are outlined or given in full to illustrate the derivation of the subject; these can be omitted without loss of understanding. The book does aim at making clear the scope and nature of those essential tests and methods that a scientist or technologist is likely to need; to this end each chapter has been divided into sections with their own subheadings and some effort has been made to make the text unambiguous (if any reader finds a misleading point anywhere I hope he will write to me about it). Also with this aim in view, the equality of probability to proportion of population is stated early, then the normal distribution and the taking of samples is discussed. This occupies the first five chapters. With the principles of these chapters understood, the student can immediately learn the significance tests of Chapter 6 and, if he needs it, the analysis of variance of Chapter 7. For some scientists this will be most of what they need. However, they will be in a position to read and/or use the remaining chapters without undue difficulty.
Essentials Of Statistics For Scientists And Technologists
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Author : Cornelius Mack
language : en
Publisher:
Release Date : 1969
Essentials Of Statistics For Scientists And Technologists written by Cornelius Mack and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1969 with Mathematical statistics categories.
Essentials Of Statistics For Scientists And Technologist
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Author :
language : en
Publisher:
Release Date : 1967
Essentials Of Statistics For Scientists And Technologist written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1967 with categories.
Practical Statistics For Data Scientists
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Author : Peter Bruce
language : en
Publisher: "O'Reilly Media, Inc."
Release Date : 2017-05-10
Practical Statistics For Data Scientists written by Peter Bruce and has been published by "O'Reilly Media, Inc." this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-05-10 with Computers categories.
Statistical methods are a key part of of data science, yet very few data scientists have any formal statistics training. Courses and books on basic statistics rarely cover the topic from a data science perspective. This practical guide explains how to apply various statistical methods to data science, tells you how to avoid their misuse, and gives you advice on what's important and what's not. Many data science resources incorporate statistical methods but lack a deeper statistical perspective. If you’re familiar with the R programming language, and have some exposure to statistics, this quick reference bridges the gap in an accessible, readable format. With this book, you’ll learn: Why exploratory data analysis is a key preliminary step in data science How random sampling can reduce bias and yield a higher quality dataset, even with big data How the principles of experimental design yield definitive answers to questions How to use regression to estimate outcomes and detect anomalies Key classification techniques for predicting which categories a record belongs to Statistical machine learning methods that “learn” from data Unsupervised learning methods for extracting meaning from unlabeled data
Mathematical And Statistical Methods In Food Science And Technology
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Author : Daniel Granato
language : en
Publisher: John Wiley & Sons
Release Date : 2014-03-03
Mathematical And Statistical Methods In Food Science And Technology written by Daniel Granato and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-03-03 with Technology & Engineering categories.
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.
Measurement And Statistics On Science And Technology
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Author : Benoit Godin
language : en
Publisher: Psychology Press
Release Date : 2005
Measurement And Statistics On Science And Technology written by Benoit Godin and has been published by Psychology Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2005 with Research categories.
This book provides an historical examination of official science and technology statistics and indicators in Western countries.
Handbook Of Quantitative Science And Technology Research
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Author : Henk F. Moed
language : en
Publisher: Springer Science & Business Media
Release Date : 2004-09-10
Handbook Of Quantitative Science And Technology Research written by Henk F. Moed and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2004-09-10 with Science categories.
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.
Essentials Of Statistics In Agricultural Sciences
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Author : Pradeep Mishra
language : en
Publisher: CRC Press
Release Date : 2019-07-24
Essentials Of Statistics In Agricultural Sciences written by Pradeep Mishra and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-07-24 with Business & Economics categories.
An understanding of the basics, logic, and theory of statistics is essential for agricultural researchers for dealing with the interpretation of data. This volume presents some of the basic and necessary concepts of statistical tools, specifically as applied to the statistics of agriculture and allied fields. It covers basic statistics, design of experiments, sampling techniques, time series, inference outlines, forecasting models, data handling, and statistical software in an easy-to-understand manner that is aimed at students and researchers with little or no mathematical background. In the agriculture scenario, students and researchers face problems that can be addressed with statistical tools, planning of field experiments, collection of data, analysis, interpretation of the data, etc. In this book, statistical theories are discussed with the help of examples from real-life situations in agriculture and allied fields, followed by worked-out examples. Each chapter is followed by a number of problems and questions that will help readers gain confidence in solving those problems. The volume also provides an analysis of how data is important and introduces the reader to using statistical software such as MS Excel, SAS (Statistical Analysis System), JMP, Minitab, and R (from the R Foundation for Statistical Computing).
Nsca S Essentials Of Sport Science
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Author : Duncan N. French
language : en
Publisher: Human Kinetics Publishers
Release Date : 2022
Nsca S Essentials Of Sport Science written by Duncan N. French and has been published by Human Kinetics Publishers this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022 with Health & Fitness categories.
NSCA's Essentials of Sport Science provides the most contemporary and comprehensive overview of the field of sport science and the role of the sport scientist. It is a primary preparation resource for the Certified Performance and Sport Scientist (CPSS) certification exam.
Fundamentals Of Applied Statistics And Surveys
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Author : David .B. Orr
language : en
Publisher: CRC Press
Release Date : 1995-04-01
Fundamentals Of Applied Statistics And Surveys written by David .B. Orr and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 1995-04-01 with Mathematics categories.
As the world becomes increasingly complex, that complexity tends to be reflected in statistical approaches to things that comprise our everyday experiences. Many people now find that understanding statistics is a skill they need to succeed in the many disciplines and occupations that rely on data and numerical information. While they may not need computational skills, rigorous mathematics, or the ability to actually design studies themselves, they do need some background in the concepts essential to understanding and intelligently applying common statistical procedures and ideas. Fundamentals of Applied Statistics and Surveys provides that background. Heavily focused on conceptual content, its approach is discursive rather than computational. The author emphasizes the more easily understandable, and more generally useful, techniques most frequently encountered by those in careers other than statistics. Aimed at users of statistical information, rather than producers of it, Fundamentals of Applied Statistics and Surveys provides an accessible treatment of basic concepts and methods without involving the reader in extensive mathematics or complicated computations.