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| Author | : Eric W. Schoon |
| Publisher | : Cambridge University Press |
| Total Pages | : 281 |
| Release | : 2024-02-29 |
| Genre | : Mathematics |
| ISBN | : 1108841104 |
Demonstrates new ways to extract knowledge from statistical data and unlock more nuanced interpretations than has previously been possible.
| Author | : Jeffrey Strickland |
| Publisher | : Lulu.com |
| Total Pages | : 312 |
| Release | : 2017-03-13 |
| Genre | : |
| ISBN | : 1365819159 |
If you have a yes or no question, then you can probably answer it with a logistic regression model. Logistic regression is most appropriate when the dependent variable has two possible outcomes. Will customers respond to an offer or unsubscribe, will the enemy fight or flee, will subjects respond to treatment or grow ill, will livestock live or die? Yes or no? I am often asked if logistic regression is a machine learning algorithm. I say that it is not, for I can formulate it mathematically and solve it using matrix equations, for example. Its solution is derived deterministically, and estimation is performed mathematically, through optimization methods. The logit link functionis the mathematical expression-a nonlinear, exponential equation, and we transform it to a linear equation by applying the natural logarithm. Here we find mathematical modeling, probability, and statistics. Here I will take you on a journey into the art and science of predictive modeling using logistic regression, inside-and-out.
| Author | : Iain Pardoe |
| Publisher | : John Wiley & Sons |
| Total Pages | : 372 |
| Release | : 2013-01-07 |
| Genre | : Mathematics |
| ISBN | : 1118345045 |
Praise for the First Edition "The attention to detail is impressive. The book is very well written and the author is extremely careful with his descriptions . . . the examples are wonderful." —The American Statistician Fully revised to reflect the latest methodologies and emerging applications, Applied Regression Modeling, Second Edition continues to highlight the benefits of statistical methods, specifically regression analysis and modeling, for understanding, analyzing, and interpreting multivariate data in business, science, and social science applications. The author utilizes a bounty of real-life examples, case studies, illustrations, and graphics to introduce readers to the world of regression analysis using various software packages, including R, SPSS, Minitab, SAS, JMP, and S-PLUS. In a clear and careful writing style, the book introduces modeling extensions that illustrate more advanced regression techniques, including logistic regression, Poisson regression, discrete choice models, multilevel models, and Bayesian modeling. In addition, the Second Edition features clarification and expansion of challenging topics, such as: Transformations, indicator variables, and interaction Testing model assumptions Nonconstant variance Autocorrelation Variable selection methods Model building and graphical interpretation Throughout the book, datasets and examples have been updated and additional problems are included at the end of each chapter, allowing readers to test their comprehension of the presented material. In addition, a related website features the book's datasets, presentation slides, detailed statistical software instructions, and learning resources including additional problems and instructional videos. With an intuitive approach that is not heavy on mathematical detail, Applied Regression Modeling, Second Edition is an excellent book for courses on statistical regression analysis at the upper-undergraduate and graduate level. The book also serves as a valuable resource for professionals and researchers who utilize statistical methods for decision-making in their everyday work.
| Author | : Joan Berzoff |
| Publisher | : Jason Aronson |
| Total Pages | : 480 |
| Release | : 2008 |
| Genre | : Psychology |
| ISBN | : 9780765704320 |
Suitable for mental health practitioners in a variety of disciplines, this work reflects the theory and clinical practice. It offers chapters, on attachment, relational, and intersubjective theories, respectively, as well as on trauma.
| Author | : Eric W. Schoon |
| Publisher | : Cambridge University Press |
| Total Pages | : 0 |
| Release | : 2024-03-31 |
| Genre | : Social Science |
| ISBN | : 9781108744881 |
Linear regression analysis, with its many generalizations, is the predominant quantitative method used throughout the social sciences and beyond. The goal of the method is to study relations among variables. In this book, Schoon, Melamed and Breiger turn regression modeling inside out to put the emphasis on the cases (people, organizations, and nations) that comprise the variables. By re-analyzing influential published research, they reveal new insights and present a principled way to unlock a set of more nuanced interpretations than has previously been attainable. The emphasis is on intuition and examples that can be reproduced using the code and datasets provided. Relating their contributions to methodologies that operate under quite different philosophical assumptions, the authors advance multi-method social science and help to bridge the divide between quantitative and qualitative research. The result is a modern, accessible, and innovative take on extracting knowledge from data.
| Author | : Craig Stinson |
| Publisher | : Pearson Education |
| Total Pages | : 1741 |
| Release | : 2013-04-15 |
| Genre | : Computers |
| ISBN | : 0735674299 |
You’re beyond the basics—so dive in and really put your spreadsheet skills to work! This supremely organized reference is packed with hundreds of timesaving solutions, troubleshooting tips, and workarounds. It’s all muscle and no fluff. Learn how the experts tackle Excel 2013—and challenge yourself to new levels of mastery. Includes companion eBook and sample files. Topics include: Customizing the Excel workspace Best practices for designing and managing worksheets Creating formulas and functions Performing statistical, what-if, and other data analysis Core to advanced charting techniques Using graphics and sparklines Managing databases and tables Automating Excel with macros and custom functions Collaborating in Excel online, in the cloud, and more Extending Excel
| Author | : Andrew Gelman |
| Publisher | : Cambridge University Press |
| Total Pages | : 551 |
| Release | : 2020-07-23 |
| Genre | : Business & Economics |
| ISBN | : 110702398X |
A practical approach to using regression and computation to solve real-world problems of estimation, prediction, and causal inference.
| Author | : Craig Stinson |
| Publisher | : Pearson Education |
| Total Pages | : 1711 |
| Release | : 2010-08-31 |
| Genre | : Computers |
| ISBN | : 0735652376 |
You're beyond the basics, so dive in and really put your spreadsheet skills to work! This supremely organized reference is packed with hundreds of timesaving solutions, troubleshooting tips, and workarounds. It's all muscle and no fluff. Discover how the experts tackle Excel 2010-and challenge yourself to new levels of mastery! Learn expert techniques for designing powerful spreadsheets Apply built-in functions-or write your own-and carry out complex calculations Use rich charting and graphic capabilities to visualize data Perform sophisticated data analysis: financial, statistical, and "what-if" Design PivotTable reports to dynamically analyze data Share and collaborate with others-while managing sensitive data Link and embed Excel data into other documents Create macros with Microsoft Visual Basic for Applications Sample spreadsheets from inside the book Add-ins and other resources to help you extend Microsoft Office programs Links to demos, user communities, and product support
| Author | : Antonio Luchicchi |
| Publisher | : Frontiers Media SA |
| Total Pages | : 110 |
| Release | : 2021-04-12 |
| Genre | : Science |
| ISBN | : 288966693X |
Topic Editor Paolo Preziosa received speaker honoraria from Biogen Idec, Novartis, Merck Serono and ExceMED. The rest of Topic Editors declare no competing interests with regards to the Research Topic.
| Author | : Egbert Jeschke |
| Publisher | : Pearson Education |
| Total Pages | : 1601 |
| Release | : 2011-12-22 |
| Genre | : Computers |
| ISBN | : 0735668965 |
Conquer Microsoft Excel formulas and functions—from the inside out! You’re beyond the basics, so dive right in and really put Excel formulas and functions to work! This supremely organized reference packs hundreds of timesaving solutions, troubleshooting tips, and workarounds. It’s all muscle and no fluff. Discover how the experts increase their data analysis capabilities using Excel 2003, 2007, or 2010—and challenge yourself to new levels of mastery. Customize Excel formulas using 350+ built-in functions Create reusable formulas for common calculations Learn smarter ways to calculate date and time values Systematically search worksheets with lookup and reference functions Perform advanced calculations using mathematical, statistical, and financial functions Build complex formulas by nesting one function inside of another Analyze profit margins and more with new functions in Excel 2010 Develop your own functions with Visual Basic for Applications (VBA) NOTE: The sample Excel files that accompany the book were updated on 12/4/2012. Click the Companion Content link to download the files.
