Introduction To Statistics Resampling Methods And Microsoft Office Excelr

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Introduction to Statistics Through Resampling Methods and Microsoft Office Excel

Author : Phillip I. Good
Publisher : John Wiley & Sons
ISBN 13 : 0471741760
Total Pages : 245 pages
Book Rating : 4.4/5 (717 download)

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Book Synopsis Introduction to Statistics Through Resampling Methods and Microsoft Office Excel by : Phillip I. Good

Download or read book Introduction to Statistics Through Resampling Methods and Microsoft Office Excel written by Phillip I. Good and published by John Wiley & Sons. This book was released on 2005-07-22 with total page 245 pages. Available in PDF, EPUB and Kindle. Book excerpt: Learn statistical methods quickly and easily with the discovery method With its emphasis on the discovery method, this publication encourages readers to discover solutions on their own rather than simply copy answers or apply a formula by rote. Readers quickly master and learn to apply statistical methods, such as bootstrap, decision trees, t-test, and permutations to better characterize, report, test, and classify their research findings. In addition to traditional methods, specialized methods are covered, allowing readers to select and apply the most effective method for their research, including: * Tests and estimation procedures for one, two, and multiple samples * Model building * Multivariate analysis * Complex experimental design Throughout the text, Microsoft Office Excel(r) is used to illustrate new concepts and assist readers in completing exercises. An Excel Primer is included as an Appendix for readers who need to learn or brush up on their Excel skills. Written in an informal, highly accessible style, this text is an excellent guide to descriptive statistics, estimation, testing hypotheses, and model building. All the pedagogical tools needed to facilitate quick learning are provided: * More than 100 exercises scattered throughout the text stimulate readers' thinking and actively engage them in applying their newfound skills * Companion FTP site provides access to all data sets discussed in the text * An Instructor's Manual is available upon request from the publisher * Dozens of thought-provoking questions in the final chapter assist readers in applying statistics to solve real-life problems * Helpful appendices include an index to Excel and Excel add-in functions This text serves as an excellent introduction to statistics for students in all disciplines. The accessible style and focus on real-life problem solving are perfectly suited to both students and practitioners.

Data Mining for Business Analytics

Author : Galit Shmueli
Publisher : John Wiley & Sons
ISBN 13 : 111954985X
Total Pages : 608 pages
Book Rating : 4.1/5 (195 download)

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Book Synopsis Data Mining for Business Analytics by : Galit Shmueli

Download or read book Data Mining for Business Analytics written by Galit Shmueli and published by John Wiley & Sons. This book was released on 2019-10-14 with total page 608 pages. Available in PDF, EPUB and Kindle. Book excerpt: Data Mining for Business Analytics: Concepts, Techniques, and Applications in Python presents an applied approach to data mining concepts and methods, using Python software for illustration Readers will learn how to implement a variety of popular data mining algorithms in Python (a free and open-source software) to tackle business problems and opportunities. This is the sixth version of this successful text, and the first using Python. It covers both statistical and machine learning algorithms for prediction, classification, visualization, dimension reduction, recommender systems, clustering, text mining and network analysis. It also includes: A new co-author, Peter Gedeck, who brings both experience teaching business analytics courses using Python, and expertise in the application of machine learning methods to the drug-discovery process A new section on ethical issues in data mining Updates and new material based on feedback from instructors teaching MBA, undergraduate, diploma and executive courses, and from their students More than a dozen case studies demonstrating applications for the data mining techniques described End-of-chapter exercises that help readers gauge and expand their comprehension and competency of the material presented A companion website with more than two dozen data sets, and instructor materials including exercise solutions, PowerPoint slides, and case solutions Data Mining for Business Analytics: Concepts, Techniques, and Applications in Python is an ideal textbook for graduate and upper-undergraduate level courses in data mining, predictive analytics, and business analytics. This new edition is also an excellent reference for analysts, researchers, and practitioners working with quantitative methods in the fields of business, finance, marketing, computer science, and information technology. “This book has by far the most comprehensive review of business analytics methods that I have ever seen, covering everything from classical approaches such as linear and logistic regression, through to modern methods like neural networks, bagging and boosting, and even much more business specific procedures such as social network analysis and text mining. If not the bible, it is at the least a definitive manual on the subject.” —Gareth M. James, University of Southern California and co-author (with Witten, Hastie and Tibshirani) of the best-selling book An Introduction to Statistical Learning, with Applications in R

Data Science and Machine Learning

Author : Dirk P. Kroese
Publisher : CRC Press
ISBN 13 : 1000730778
Total Pages : 538 pages
Book Rating : 4.0/5 (7 download)

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Book Synopsis Data Science and Machine Learning by : Dirk P. Kroese

Download or read book Data Science and Machine Learning written by Dirk P. Kroese and published by CRC Press. This book was released on 2019-11-20 with total page 538 pages. Available in PDF, EPUB and Kindle. Book excerpt: Focuses on mathematical understanding Presentation is self-contained, accessible, and comprehensive Full color throughout Extensive list of exercises and worked-out examples Many concrete algorithms with actual code

Introductory Econometrics

Author : Humberto Barreto
Publisher : Cambridge University Press
ISBN 13 : 9780521843195
Total Pages : 810 pages
Book Rating : 4.8/5 (431 download)

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Book Synopsis Introductory Econometrics by : Humberto Barreto

Download or read book Introductory Econometrics written by Humberto Barreto and published by Cambridge University Press. This book was released on 2006 with total page 810 pages. Available in PDF, EPUB and Kindle. Book excerpt: This highly accessible and innovative text with supporting web site uses Excel (R) to teach the core concepts of econometrics without advanced mathematics. It enables students to use Monte Carlo simulations in order to understand the data generating process and sampling distribution. Intelligent repetition of concrete examples effectively conveys the properties of the ordinary least squares (OLS) estimator and the nature of heteroskedasticity and autocorrelation. Coverage includes omitted variables, binary response models, basic time series, and simultaneous equations. The authors teach students how to construct their own real-world data sets drawn from the internet, which they can analyze with Excel (R) or with other econometric software. The accompanying web site with text support can be found at www.wabash.edu/econometrics.

Microsoft Excel 2010

Author : Wayne L. Winston
Publisher :
ISBN 13 : 9780735643369
Total Pages : 700 pages
Book Rating : 4.6/5 (433 download)

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Book Synopsis Microsoft Excel 2010 by : Wayne L. Winston

Download or read book Microsoft Excel 2010 written by Wayne L. Winston and published by . This book was released on 2011 with total page 700 pages. Available in PDF, EPUB and Kindle. Book excerpt: An award-winning business professor and corporate consultant shares the best of his real-world experience in this practical, scenario-focused guide--fully updated for Excel 2010.

Monte Carlo and Quasi-Monte Carlo Sampling

Author : Christiane Lemieux
Publisher : Springer Science & Business Media
ISBN 13 : 038778165X
Total Pages : 373 pages
Book Rating : 4.3/5 (877 download)

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Book Synopsis Monte Carlo and Quasi-Monte Carlo Sampling by : Christiane Lemieux

Download or read book Monte Carlo and Quasi-Monte Carlo Sampling written by Christiane Lemieux and published by Springer Science & Business Media. This book was released on 2009-04-03 with total page 373 pages. Available in PDF, EPUB and Kindle. Book excerpt: Quasi–Monte Carlo methods have become an increasingly popular alternative to Monte Carlo methods over the last two decades. Their successful implementation on practical problems, especially in finance, has motivated the development of several new research areas within this field to which practitioners and researchers from various disciplines currently contribute. This book presents essential tools for using quasi–Monte Carlo sampling in practice. The first part of the book focuses on issues related to Monte Carlo methods—uniform and non-uniform random number generation, variance reduction techniques—but the material is presented to prepare the readers for the next step, which is to replace the random sampling inherent to Monte Carlo by quasi–random sampling. The second part of the book deals with this next step. Several aspects of quasi-Monte Carlo methods are covered, including constructions, randomizations, the use of ANOVA decompositions, and the concept of effective dimension. The third part of the book is devoted to applications in finance and more advanced statistical tools like Markov chain Monte Carlo and sequential Monte Carlo, with a discussion of their quasi–Monte Carlo counterpart. The prerequisites for reading this book are a basic knowledge of statistics and enough mathematical maturity to follow through the various techniques used throughout the book. This text is aimed at graduate students in statistics, management science, operations research, engineering, and applied mathematics. It should also be useful to practitioners who want to learn more about Monte Carlo and quasi–Monte Carlo methods and researchers interested in an up-to-date guide to these methods.

Intermediate Microeconomics with Microsoft Excel

Author : Humberto Barreto
Publisher : Cambridge University Press
ISBN 13 : 0521899028
Total Pages : 593 pages
Book Rating : 4.5/5 (218 download)

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Book Synopsis Intermediate Microeconomics with Microsoft Excel by : Humberto Barreto

Download or read book Intermediate Microeconomics with Microsoft Excel written by Humberto Barreto and published by Cambridge University Press. This book was released on 2009-06-15 with total page 593 pages. Available in PDF, EPUB and Kindle. Book excerpt: This unique text uses Microsoft Excel® workbooks to instruct students. In addition to explaining fundamental concepts in microeconomic theory, readers acquire a great deal of sophisticated Excel skills and gain the practical mathematics needed to succeed in advanced courses. In addition to the innovative pedagogical approach, the book features explicitly repeated use of a single central methodology, the economic approach. Students learn how economists think and how to think like an economist. With concrete, numerical examples and novel, engaging applications, interest for readers remains high as live graphs and data respond to manipulation by the user. Finally, clear writing and active learning are features sure to appeal to modern practitioners and their students. The website accompanying the text is found at www.depauw.edu/learn/microexcel.

Learning Landscape Ecology

Author : Sarah E. Gergel
Publisher : Springer Science & Business Media
ISBN 13 : 0387216138
Total Pages : 323 pages
Book Rating : 4.3/5 (872 download)

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Book Synopsis Learning Landscape Ecology by : Sarah E. Gergel

Download or read book Learning Landscape Ecology written by Sarah E. Gergel and published by Springer Science & Business Media. This book was released on 2006-04-18 with total page 323 pages. Available in PDF, EPUB and Kindle. Book excerpt: Filled with numerous exercises this practical guide provides a real hands-on approach to learning the essential concepts and techniques of landscape ecology. The knowledge gained enables students to usefully address landscape- level ecological and management issues. A variety of approaches are presented, including: group discussion, thought problems, written exercises, and modelling. Each exercise is categorised as to whether it is for individual, small group, or whole class study.

R in Action

Author : Robert Kabacoff
Publisher : Manning Publications
ISBN 13 : 9781617291388
Total Pages : 475 pages
Book Rating : 4.2/5 (913 download)

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Book Synopsis R in Action by : Robert Kabacoff

Download or read book R in Action written by Robert Kabacoff and published by Manning Publications. This book was released on 2015-03-03 with total page 475 pages. Available in PDF, EPUB and Kindle. Book excerpt: R is a powerful language for statistical computing and graphics that can handle virtually any data-crunching task. It runs on all important platforms and provides thousands of useful specialized modules and utilities. This makes R a great way to get meaningful information from mountains of raw data. R in Action, Second Edition is a language tutorial focused on practical problems. Written by a research methodologist, it takes a direct and modular approach to quickly give readers the information they need to produce useful results. Focusing on realistic data analyses and a comprehensive integration of graphics, it follows the steps that real data analysts use to acquire their data, get it into shape, analyze it, and produce meaningful results that they can provide to clients. Purchase of the print book comes with an offer of a free PDF eBook from Manning. Also available is all code from the book.

Using R for Introductory Statistics

Author : John Verzani
Publisher : CRC Press
ISBN 13 : 1315360306
Total Pages : 522 pages
Book Rating : 4.3/5 (153 download)

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Book Synopsis Using R for Introductory Statistics by : John Verzani

Download or read book Using R for Introductory Statistics written by John Verzani and published by CRC Press. This book was released on 2018-10-03 with total page 522 pages. Available in PDF, EPUB and Kindle. Book excerpt: The second edition of a bestselling textbook, Using R for Introductory Statistics guides students through the basics of R, helping them overcome the sometimes steep learning curve. The author does this by breaking the material down into small, task-oriented steps. The second edition maintains the features that made the first edition so popular, while updating data, examples, and changes to R in line with the current version. See What’s New in the Second Edition: Increased emphasis on more idiomatic R provides a grounding in the functionality of base R. Discussions of the use of RStudio helps new R users avoid as many pitfalls as possible. Use of knitr package makes code easier to read and therefore easier to reason about. Additional information on computer-intensive approaches motivates the traditional approach. Updated examples and data make the information current and topical. The book has an accompanying package, UsingR, available from CRAN, R’s repository of user-contributed packages. The package contains the data sets mentioned in the text (data(package="UsingR")), answers to selected problems (answers()), a few demonstrations (demo()), the errata (errata()), and sample code from the text. The topics of this text line up closely with traditional teaching progression; however, the book also highlights computer-intensive approaches to motivate the more traditional approach. The authors emphasize realistic data and examples and rely on visualization techniques to gather insight. They introduce statistics and R seamlessly, giving students the tools they need to use R and the information they need to navigate the sometimes complex world of statistical computing.

Geographic Information Science and Technology Body of Knowledge

Author : University Consortium for Geographic Information Science
Publisher :
ISBN 13 : 9780892912674
Total Pages : 0 pages
Book Rating : 4.9/5 (126 download)

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Book Synopsis Geographic Information Science and Technology Body of Knowledge by : University Consortium for Geographic Information Science

Download or read book Geographic Information Science and Technology Body of Knowledge written by University Consortium for Geographic Information Science and published by . This book was released on 2006 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Quantitative Data Analysis

Author : Willem Mertens
Publisher : Springer
ISBN 13 : 3319427008
Total Pages : 170 pages
Book Rating : 4.3/5 (194 download)

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Book Synopsis Quantitative Data Analysis by : Willem Mertens

Download or read book Quantitative Data Analysis written by Willem Mertens and published by Springer. This book was released on 2016-09-29 with total page 170 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book offers postgraduate and early career researchers in accounting and information systems a guide to choosing, executing and reporting appropriate data analysis methods to answer their research questions. It provides readers with a basic understanding of the steps that each method involves, and of the facets of the analysis that require special attention. Rather than presenting an exhaustive overview of the methods or explaining them in detail, the book serves as a starting point for developing data analysis skills: it provides hands-on guidelines for conducting the most common analyses and reporting results, and includes pointers to more extensive resources. Comprehensive yet succinct, the book is brief and written in a language that everyone can understand - from students to those employed by organizations wanting to study the context in which they work. It also serves as a refresher for researchers who have learned data analysis techniques previously but who need a reminder for the specific study they are involved in.

Introductory Econometrics

Author : Jeffrey M. Wooldridge
Publisher : South Western Educational Publishing
ISBN 13 : 9780324788907
Total Pages : 865 pages
Book Rating : 4.7/5 (889 download)

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Book Synopsis Introductory Econometrics by : Jeffrey M. Wooldridge

Download or read book Introductory Econometrics written by Jeffrey M. Wooldridge and published by South Western Educational Publishing. This book was released on 2009 with total page 865 pages. Available in PDF, EPUB and Kindle. Book excerpt: INTRODUCTORY ECONOMETRICS: A MODERN APPROACH, 4e International Edition illustrates how empirical researchers think about and apply econometric methods in real-world practice. The text's unique approach reflects the fact that undergraduate econometrics has moved beyond just a set of abstract tools to being genuinely useful for answering questions in business, policy evaluation, and forecasting environments. The systematic approach, which reduces clutter by introducing assumptions only as they are needed, makes absorbing the material easier and leads to better econometric practices. Its unique organization separates topics by the kinds of data being analyzed , leading to an appreciation for the important issues that arise in drawing conclusions from the different kinds of data economists use. Packed with relevant applications, INTRODUCTORY ECONOMETRICS offers a wealth of interesting data sets that can be used to reproduce the examples in the text or as the starting point for original research projects.

Introduction to Probability and Statistics Using R

Author : G. Jay Kerns
Publisher : Lulu.com
ISBN 13 : 0557249791
Total Pages : 388 pages
Book Rating : 4.5/5 (572 download)

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Book Synopsis Introduction to Probability and Statistics Using R by : G. Jay Kerns

Download or read book Introduction to Probability and Statistics Using R written by G. Jay Kerns and published by Lulu.com. This book was released on 2010-01-10 with total page 388 pages. Available in PDF, EPUB and Kindle. Book excerpt: This is a textbook for an undergraduate course in probability and statistics. The approximate prerequisites are two or three semesters of calculus and some linear algebra. Students attending the class include mathematics, engineering, and computer science majors.

Analysis of Integrated Data

Author : Li-Chun Zhang
Publisher : CRC Press
ISBN 13 : 1498727999
Total Pages : 273 pages
Book Rating : 4.4/5 (987 download)

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Book Synopsis Analysis of Integrated Data by : Li-Chun Zhang

Download or read book Analysis of Integrated Data written by Li-Chun Zhang and published by CRC Press. This book was released on 2019-04-18 with total page 273 pages. Available in PDF, EPUB and Kindle. Book excerpt: The advent of "Big Data" has brought with it a rapid diversification of data sources, requiring analysis that accounts for the fact that these data have often been generated and recorded for different reasons. Data integration involves combining data residing in different sources to enable statistical inference, or to generate new statistical data for purposes that cannot be served by each source on its own. This can yield significant gains for scientific as well as commercial investigations. However, valid analysis of such data should allow for the additional uncertainty due to entity ambiguity, whenever it is not possible to state with certainty that the integrated source is the target population of interest. Analysis of Integrated Data aims to provide a solid theoretical basis for this statistical analysis in three generic settings of entity ambiguity: statistical analysis of linked datasets that may contain linkage errors; datasets created by a data fusion process, where joint statistical information is simulated using the information in marginal data from non-overlapping sources; and estimation of target population size when target units are either partially or erroneously covered in each source. Covers a range of topics under an overarching perspective of data integration. Focuses on statistical uncertainty and inference issues arising from entity ambiguity. Features state of the art methods for analysis of integrated data. Identifies the important themes that will define future research and teaching in the statistical analysis of integrated data. Analysis of Integrated Data is aimed primarily at researchers and methodologists interested in statistical methods for data from multiple sources, with a focus on data analysts in the social sciences, and in the public and private sectors.

Python for Excel

Author : Felix Zumstein
Publisher : "O'Reilly Media, Inc."
ISBN 13 : 1492080950
Total Pages : 366 pages
Book Rating : 4.4/5 (92 download)

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Book Synopsis Python for Excel by : Felix Zumstein

Download or read book Python for Excel written by Felix Zumstein and published by "O'Reilly Media, Inc.". This book was released on 2021-03-04 with total page 366 pages. Available in PDF, EPUB and Kindle. Book excerpt: While Excel remains ubiquitous in the business world, recent Microsoft feedback forums are full of requests to include Python as an Excel scripting language. In fact, it's the top feature requested. What makes this combination so compelling? In this hands-on guide, Felix Zumstein--creator of xlwings, a popular open source package for automating Excel with Python--shows experienced Excel users how to integrate these two worlds efficiently. Excel has added quite a few new capabilities over the past couple of years, but its automation language, VBA, stopped evolving a long time ago. Many Excel power users have already adopted Python for daily automation tasks. This guide gets you started. Use Python without extensive programming knowledge Get started with modern tools, including Jupyter notebooks and Visual Studio code Use pandas to acquire, clean, and analyze data and replace typical Excel calculations Automate tedious tasks like consolidation of Excel workbooks and production of Excel reports Use xlwings to build interactive Excel tools that use Python as a calculation engine Connect Excel to databases and CSV files and fetch data from the internet using Python code Use Python as a single tool to replace VBA, Power Query, and Power Pivot

Introduction to Spatial Econometrics

Author : James LeSage
Publisher : CRC Press
ISBN 13 : 1420064258
Total Pages : 362 pages
Book Rating : 4.4/5 (2 download)

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Book Synopsis Introduction to Spatial Econometrics by : James LeSage

Download or read book Introduction to Spatial Econometrics written by James LeSage and published by CRC Press. This book was released on 2009-01-20 with total page 362 pages. Available in PDF, EPUB and Kindle. Book excerpt: Although interest in spatial regression models has surged in recent years, a comprehensive, up-to-date text on these approaches does not exist. Filling this void, Introduction to Spatial Econometrics presents a variety of regression methods used to analyze spatial data samples that violate the traditional assumption of independence between observat