Applied Statistics For Software Managers
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Applied Statistics For Software Managers
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Author : Katrina Maxwell
language : en
Publisher: Prentice Hall
Release Date : 2002
Applied Statistics For Software Managers written by Katrina Maxwell and has been published by Prentice Hall this book supported file pdf, txt, epub, kindle and other format this book has been release on 2002 with Computers categories.
Applied Statistics for Software Managers is the first complete guide to using statistical techniques to solve specific software development and maintenance problems. You don't need a mathematical background; Katrina Maxwell presents an easy-to-follow methodology and detailed case studies that show you exactly how to assess productivity, time to market, development costs, maintenance cost drivers, and more.
Applied Statistics Manual
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Author : Matthew A. Barsalou
language : en
Publisher: Quality Press
Release Date : 2018-12-19
Applied Statistics Manual written by Matthew A. Barsalou and has been published by Quality Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-12-19 with Mathematics categories.
This book was written to provide guidance for those who need to apply statistical methods for practical use. While the book provides detailed guidance on the use of Minitab for calculation, simply entering data into a software program is not sufficient to reliably gain knowledge from data. The software will provide an answer, but the answer may be wrong if the sample was not taken properly, the data was unsuitable for the statistical test that was performed, or the wrong test was selected. It is also possible that the answer will be correct, but misinterpreted. This book provides both guidance in applying the statistical methods described as well as instructions for performing calculations without a statistical software program such as Minitab. One of the authors is a professional statistician who spent nearly 13 years working at Minitab and the other is an experienced and certified Lean Six Sigma Master Black Belt. Together, they strive to present the knowledge of a statistician in a format that can be easily understood and applied by non-statisticians facing real-world problems. Their guidance is provided with the goal of making data analysis accessible and practical. Rather than focusing on theoretical concepts, the book delivers only the information that is critical to success for the practitioner. It is a thorough guide for those who have not yet been exposed to the value of statistics, as well as a reliable reference for those who have been introduced to statistics but are not yet confident in their abilities. Supplemental files available! If you are an instructor who would like to conduct training with this book, please visit this "https://asqassets.widencollective.com/portals/sybdffda/(H1550)AppliedStatisticsManualAGuidetoImprovingandSustainingQualitywithMinitab" access: Course descriptions for one or two semester university courses Chapter descriptions for standalone sessions A data file containing data sets used in the book
Applied Statistics And Probability For Engineers 4th Edition With Minitab Software Version 14 Set
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Author : Douglas C. Montgomery
language : en
Publisher:
Release Date : 2006-05-11
Applied Statistics And Probability For Engineers 4th Edition With Minitab Software Version 14 Set written by Douglas C. Montgomery and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2006-05-11 with categories.
Applied Statistics For Engineers And Scientists
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Author : David M. Levine
language : en
Publisher: Pearson
Release Date : 2001
Applied Statistics For Engineers And Scientists written by David M. Levine and has been published by Pearson this book supported file pdf, txt, epub, kindle and other format this book has been release on 2001 with Business & Economics categories.
For courses in Probability and Statistics. This applied text for engineers and scientists, written in a non-theoretical manner, focuses on underlying principles that are important to students in a wide range of disciplines. It emphasizes the interpretation of results, the presentation and evaluation of assumptions, and the discussion of what should be done if the assumptions are violated. Integration of spreadsheet and statistical software (Microsoft Excel and Minitab) as well as in-depth coverage of quality and experimental design complete this treatment of statistics.
Applied Statistics And Probability For Engineers 4e With Spss Student Software Version 15 0
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Author : Douglas C. Montgomery
language : en
Publisher:
Release Date : 2008-04-10
Applied Statistics And Probability For Engineers 4e With Spss Student Software Version 15 0 written by Douglas C. Montgomery and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2008-04-10 with categories.
Applied Data Mining
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Author : Paolo Giudici
language : en
Publisher: John Wiley & Sons
Release Date : 2005-09-27
Applied Data Mining written by Paolo Giudici 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 2005-09-27 with Computers categories.
Data mining can be defined as the process of selection, explorationand modelling of large databases, in order to discover models andpatterns. The increasing availability of data in the currentinformation society has led to the need for valid tools for itsmodelling and analysis. Data mining and applied statistical methodsare the appropriate tools to extract such knowledge from data.Applications occur in many different fields, including statistics,computer science, machine learning, economics, marketing andfinance. This book is the first to describe applied data mining methodsin a consistent statistical framework, and then show how they canbe applied in practice. All the methods described are eithercomputational, or of a statistical modelling nature. Complexprobabilistic models and mathematical tools are not used, so thebook is accessible to a wide audience of students and industryprofessionals. The second half of the book consists of nine casestudies, taken from the author's own work in industry, thatdemonstrate how the methods described can be applied to realproblems. Provides a solid introduction to applied data mining methods ina consistent statistical framework Includes coverage of classical, multivariate and Bayesianstatistical methodology Includes many recent developments such as web mining,sequential Bayesian analysis and memory based reasoning Each statistical method described is illustrated with real lifeapplications Features a number of detailed case studies based on appliedprojects within industry Incorporates discussion on software used in data mining, withparticular emphasis on SAS Supported by a website featuring data sets, software andadditional material Includes an extensive bibliography and pointers to furtherreading within the text Author has many years experience teaching introductory andmultivariate statistics and data mining, and working on appliedprojects within industry A valuable resource for advanced undergraduate and graduatestudents of applied statistics, data mining, computer science andeconomics, as well as for professionals working in industry onprojects involving large volumes of data - such as in marketing orfinancial risk management.
Statistical Methods In Software Engineering
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Author : Nozer D. Singpurwalla
language : en
Publisher: Springer Science & Business Media
Release Date : 2012-12-06
Statistical Methods In Software Engineering written by Nozer D. Singpurwalla 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.
In establishing a framework for dealing with uncertainties in software engineering, and for using quantitative measures in related decision-making, this text puts into perspective the large body of work having statistical content that is relevant to software engineering. Aimed at computer scientists, software engineers, and reliability analysts who have some exposure to probability and statistics, the content is pitched at a level appropriate for research workers in software reliability, and for graduate level courses in applied statistics computer science, operations research, and software engineering.
Applied Statistics And Probability For Engineers 4th Edition With Jmp R Version 6 Software Se Set
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Author : Douglas C. Montgomery
language : en
Publisher:
Release Date : 2008-01-08
Applied Statistics And Probability For Engineers 4th Edition With Jmp R Version 6 Software Se Set written by Douglas C. Montgomery and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2008-01-08 with categories.
Applied Data Mining For Business And Industry
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Author : Paolo Giudici
language : en
Publisher: John Wiley & Sons
Release Date : 2009-05-26
Applied Data Mining For Business And Industry written by Paolo Giudici 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 2009-05-26 with Mathematics categories.
The increasing availability of data in our current, information overloaded society has led to the need for valid tools for its modelling and analysis. Data mining and applied statistical methods are the appropriate tools to extract knowledge from such data. This book provides an accessible introduction to data mining methods in a consistent and application oriented statistical framework, using case studies drawn from real industry projects and highlighting the use of data mining methods in a variety of business applications. Introduces data mining methods and applications. Covers classical and Bayesian multivariate statistical methodology as well as machine learning and computational data mining methods. Includes many recent developments such as association and sequence rules, graphical Markov models, lifetime value modelling, credit risk, operational risk and web mining. Features detailed case studies based on applied projects within industry. Incorporates discussion of data mining software, with case studies analysed using R. Is accessible to anyone with a basic knowledge of statistics or data analysis. Includes an extensive bibliography and pointers to further reading within the text. Applied Data Mining for Business and Industry, 2nd edition is aimed at advanced undergraduate and graduate students of data mining, applied statistics, database management, computer science and economics. The case studies will provide guidance to professionals working in industry on projects involving large volumes of data, such as customer relationship management, web design, risk management, marketing, economics and finance.
Applied Statistics And Probability For Engineers
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Author : Douglas C. Montgomery
language : en
Publisher:
Release Date : 1999
Applied Statistics And Probability For Engineers written by Douglas C. Montgomery and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1999 with Technology & Engineering categories.
This text brings statistical tools to engineers and scientists who design and develop new products, new manufacturing systems and processes and who improve existing systems. Written by engineers for engineers, the examples and exercises are engineering-based, containing real data. And because computers are used to apply statistical methods to solve problems, output is presented from Statgraphics and SAS to illustrate what can be done with modern statistical software. Readers will master discrete and continuous random variables and probability distributions; point and interval estimation; testing hypotheses; simple and multiple linear regression; design of experiments; nonparametric statistics; and statistical quality control.