The.Hottest

Cameron Davidson-Pilon  ... 256 pages - Publisher: ‎Addison-Wesley Professional; (October, 2015) - Language: English -  ISBN-10: 0133902838 - ISBN-13: 978-0133902839.

Bayesian methods of inference are deeply natural and extremely powerful. However, most discussions of Bayesian inference rely on intensely complex mathematical analyses and artificial examples, making it inaccessible to anyone without a strong mathematical background. Now, though, Cameron Davidson-Pilon introduces Bayesian inference from a computational perspective, bridging theory to practice–freeing you to get results using computing power. Bayesian Methods for Hackers illuminates Bayesian inference through probabilistic programming with the powerful PyMC language and the closely related Python tools NumPy, SciPy, and Matplotlib. Using this approach, you can reach effective solutions in small increments, without extensive mathematical intervention.

Davidson-Pilon begins by introducing the concepts underlying Bayesian inference, comparing it with other techniques and guiding you through building and training your first Bayesian model. Next, he introduces PyMC through a series of detailed examples and intuitive explanations that have been refined after extensive user feedback. You’ll learn how to use the Markov Chain Monte Carlo algorithm, choose appropriate sample sizes and priors, work with loss functions, and apply Bayesian inference in domains ranging from finance to marketing. Once you’ve mastered these techniques, you’ll constantly turn to this guide for the working PyMC code you need to jumpstart future projects.

Coverage includes: • Learning the Bayesian “state of mind” and its practical implications • Understanding how computers perform Bayesian inference • Using the PyMC Python library to program Bayesian analyses • Building and debugging models with PyMC • Testing your model’s “goodness of fit” • Opening the “black box” of the Markov Chain Monte Carlo algorithm to see how and why it works • Leveraging the power of the “Law of Large Numbers” • Mastering key concepts, such as clustering, convergence, autocorrelation, and thinning • Using loss functions to measure an estimate’s weaknesses based on your goals and desired outcomes • Selecting appropriate priors and understanding how their influence changes with dataset size • Overcoming the “exploration versus exploitation” dilemma: deciding when “pretty good” is good enough • Using Bayesian inference to improve A/B testing • Solving data science problems when only small amounts of data are available.

Randall Pruim ... 820 pages - Publisher: American Mathematical Society; 2nd Edition (April, 2018) - Language: English - ISBN-10: ‎1470428482 - ISBN-13: 978-1470428488.

Foundations and Applications of Statistics simultaneously emphasizes both the foundational and the computational aspects of modern statistics. Engaging and accessible, this book is useful to undergraduate students with a wide range of backgrounds and career goals. The exposition immediately begins with statistics, presenting concepts and results from probability along the way. Hypothesis testing is introduced very early, and the motivation for several probability distributions comes from p-value computations. Pruim develops the students' practical statistical reasoning through explicit examples and through numerical and graphical summaries of data that allow intuitive inferences before introducing the formal machinery. The topics have been selected to reflect the current practice in statistics, where computation is an indispensible tool. In this vein, the statistical computing environment $\textsf{R}$ is used throughout the text and is integral to the exposition. Attention is paid to developing students' mathematical and computational skills as well as their statistical reasoning. Linear models, such as regression and ANOVA, are treated with explicit reference to the underlying linear algebra, which is motivated geometrically. Foundations and Applications of Statistics discusses both the mathematical theory underlying statistics and practical applications that make it a powerful tool across disciplines. The book contains ample material for a two-semester course in undergraduate probability and statistics. A one-semester course based on the book will cover hypothesis testing and confidence intervals for the most common situations.

Subal C. Kumbhakar, Hung-Jen Wang, Alan P. Horncastle ... 374 pages - Language: ‎ English - Publisher: ‎ Cambridge Univ. Press; (January, 2015) - ISBN-10: ‎ 1107609461 - ISBN-13: 978-1107609464.


Stochastic Frontier Analysis Using Stata provides practitioners in academia and industry with a step-by-step guide on how to conduct efficiency analysis using the stochastic frontier approach. The authors explain in detail how to estimate production, cost, and profit efficiency and introduce the basic theory of each model in an accessible way, using empirical examples that demonstrate the interpretation and application of models. This book also provides computer code, allowing users to apply the models in their own work, and incorporates the most recent stochastic frontier models developed in academic literature. Such recent developments include models of heteroscedasticity and exogenous determinants of inefficiency, scaling models, panel models with time-varying inefficiency, growth models, and panel models that separate firm effects and persistent and transient inefficiency. Immensely helpful to applied researchers, this book bridges the chasm between theory and practice, expanding the range of applications in which production frontier analysis may be implemented.

Rémy Lentzner ... 111 pages - Language: ‎English - Publisher: Remylent; (April, 2021).

Excel makes life easier because its powerful functions are easily accessible. With the spreadsheet you can handle numbers, dates, formulas or simply text. This book will be an asset to improve your skills by learning more complex functions and finally to save a lot of time. The examples presented in this manual will help you to analyse data better. Do not hesitate to test them in order to discover excel's strengths. It reflects real management situations. You can reproduce them with all Excel versions. Accessible to all, this manual guides you, step by step, to increase your knowledge.

Russell Hibbeler ... 923 pages - Language: English - ISBN-10: 1292247304 - ISBN-13: 978-1292247304.

For Fluid Mechanics courses found in Civil and Environmental, General Engineering, and Engineering Technology and Industrial Management departments.Fluid Mechanics is intended to provide a comprehensive guide to a full understanding of the theory and many applications of fluid mechanics. The text features many of the hallmark pedagogical aids unique to Hibbeler texts, including its student-friendly, clear organization. The text supports the development of student problem-solving skills through a large variety of problems, representing a broad range of engineering disciplines that stress practical, realistic situations encountered in professional practice, and provide varying levels of difficulty. The text offers flexibility in that basic principles are covered in chapters 1-6, and the remaining chapters can be covered in any sequence without the loss of continuity.Updates to the 2nd Edition result from comments and suggestions from colleagues, reviewers in the teaching profession, and many of the author’s students, and include expanded topic coverage and new Example and Fundamental Problems intended to further students’ understanding of the theory and its applications.Pearson Mastering™ Engineering is not included. Students, if Pearson Mastering Engineering is a recommended/mandatory component of the course, please ask your instructor for the correct ISBN. Mastering Engineering should only be purchased when required by an instructor. Instructors, contact your Pearson representative for more information.Reach every student by pairing this text with Pearson Mastering EngineeringMastering is the teaching and learning platform that empowers you to reach every student. By combining trusted author content with digital tools and a flexible platform, Mastering personalizes the learning experience and improves results for each student.

Jeffrey C. Evans, Michael A. Malusis ... 576 pages - Publisher: CRC Press; (March, 2017) ... Language: English - ISBN-10: 0415695155 - ISBN-13: 978-0415695152.

Ground improvement has been one of the most dynamic and rapidly evolving areas of geotechnical engineering over the past forty years. Moreover, increasing development of sites with marginal soils has made ground improvement an increasingly important core component of geotechnical engineering curricula. This textbook addresses the latest and most effective techniques for ground improvement, at a level designed for undergraduate and graduate-level university students and practitioners seeking fundamental background in these techniques. Thus, Fundamentals of Ground Improvement Engineering is for students and professionals. The book is written to, first, broadly introduce key ground improvement methods and, second, to provide readers with a thorough understanding of the theory, design principles, and construction approaches that underpin each method. Major topic areas covered include compaction, grouting, vibratory methods, soil mixing, stabilization and solidification, cut-off walls, dewatering, consolidation, geosynthetics, and earth retention. The book contains numerous problems and worked examples, and is well illustrated with photographs, schematics, charts and graphs.The rich companion website provides instructor resources and videos of the techniques, which are useful for students and for professionals to show clients.

T.J. Quirk ... 264 Pages - Language: ‎English - Publisher: ‎Springer; 2nd edition (March, 2021).


This textbook is a step-by-step guide for high school, community college, and undergraduate students who are taking a course in applied statistics and wish to learn how to use Excel to solve statistical problems. All of the statistics problems in this book come from the following fields of study: business, education, psychology, marketing, engineering and advertising. Students will learn how to perform key statistical tests in Excel without being overwhelmed by statistical theory.Each chapter briefly explains a topic and then demonstrates how to use Excel commands and formulas to solve specific statistics problems. The book offers guidance in using Excel in two different ways: (1) writing formulas (e.g., confidence interval about the mean, one-group t-test, two-group t-test, correlation) and (2) using Excel’s drop-down formula menus (e.g., simple linear regression, multiple correlations and multiple regression, and one-way ANOVA). Three practice problems are provided at the end of each chapter, along with their solutions in an appendix. An additional practice test allows readers to test their understanding of each chapter by attempting to solve a specific statistics problem using Excel; the solution to each of these problems is also given in an appendix. This book is a tool that can be used either by itself or along with any good statistics book.​

Ahmed Sheikh ... 92 pages - Language: English - Publisher: Independently published; (December, 2019) - ISBN-10: ‎1651129436 - ISBN-13: 978-1651129432.


Excel has its immense purposeful applications. 95% of the users apply the basic form. There are functions and advanced excel formula that can be used for complex calculations. The functions are designed for easy lookup and formatting of large pool of data whereas the advanced excel formula are implemented to get new information from a given particular set of data.

Allan Murray ... 368 pages - Publisher: ‎Apress; (December, 2020) - Language: English - ISBN-10 : 1484264665 - ISBN-13:‎ 978-1484264669.


Learn the Advanced Excel features and skills that are not taught in classes. Advanced Excel tricks, XLOOKUP, SUMPRODUCT, Power Query, Power Pivot and much more. This book is perfect for anyone who uses Excel regularly and wants to take the step to the next level. If you are a Beginner to Intermediate level Excel user, this book is a must-have. You will learn the advanced Excel features and techniques that others do not know.

In this book, you will learn: - Tricks and innovative ways to boost your productivity in Excel. - The best functions in Excel including XLOOKUP, FILTER, SORTBY, SWITCH and more with 'real world' examples. - Advanced formatting techniques to take your formatting to another level. - Create dynamic, interactive, and effective charts. - Power Query - possibly the greatest and most-important upgrade in the history of Excel. - Power Pivot - no more lookups. Learn to model your data, handle large volumes with ease and perform powerful DAX calculations. 

This book it a must-have to stay ahead of the crowd and be a success in the workplace. Take advantage of the power in modern Excel.

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