Reflecting the need for even minor programming in today's model-based statistics, the book pushes readers to perform step-by-step calculations that are usually automated. This unique computational approach ensures that readers understand enough of the details to make reasonable choices and interpretations in their own modeling work.The text presents generalized linear multilevel models from a Bayesian perspective, relying on a simple logical interpretation of Bayesian probability and maximum entropy. It covers from the basics of regression to multilevel models. The author also discusses measurement error, missing data, and Gaussian process models for spatial and network autocorrelation.By using complete R code examples throughout, this book provides a practical foundation for performing statistical inference. Designed for both PhD students and seasoned professionals in the natural and social sciences, it prepares them for more advanced or specialized statistical modeling.Web ResourceThe book is accompanied by an R package (rethinking) that is available on the author's website and GitHub. The two core functions (map and map2stan) of this package allow a variety of statistical models to be constructed from standard model formulas.

    Heart-stopping suspense. Unrelenting passion. This is Shifter Nation. Deep in the wilderness, National Park Rangers have been guarding America’s most closely-kept secret. Shifters have been living among us for centuries. And these smoking hot bears are on the hunt for their strong, sassy mates. Shifter Nation: East Coast Bears Collection packs Meg Ripley’s bestselling Werebears of Acadia and Werebears of the Everglades series into one riveting anthology, featuring: Ranger Knox The journalist writing an exposé on Acadia National Park is most definitely an outsider, no matter how much Knox’s inner bear insists she’s his. But is it possible that this human could be his mate? And can he keep her from unraveling the mystery that’s kept his clan hidden from the public eye for generations? Ranger Trent Three brutal murders were committed in Acadia, and Trent is on the case. Or is he? When Blanca, a feisty, curvy FBI agent, tries to take over the investigation, she challenges the desires of Trent’s inner bear—in more ways than one. Ranger Ramon From the moment they met, there was no denying the sizzling chemistry between Ramon and Min. But what is she doing in Acadia in the first place? Could this brainy beauty be responsible for sabotaging the Acadia clan, or will she prove to be their greatest ally? Ranger Drew Fighting fires is Drew’s duty at Acadia, but the day he met Kathleen, nothing could have prepared his bear for the fiery passion that would ignite between them. But will her betrayal of his trust extinguish the flames between them once and for all? Alpha's Second Chance Addie hopes to rekindle things with Owen, and deep down, Owen wants the same, but his shifter secret has forced him to shut her out from his heart. How could things ever change if the truth stays hidden? Fated Attraction A sassy, badass Florida panther. A laid-back bear Ranger with a surfer attitude. Will their common goal of finding who’s been killing the Everglades panthers bring these polar opposites together? Nanny For The Soldier Bear Conner is an Army vet Ranger with a wounded heart and an unimaginable secret. Will his little one’s nanny have the patience to melt this bear’s tough exterior so he can learn to love again? Relentless Mates It seems impossible for a bear and a crocodile shifter to be fated mates, and from the moment of their first date, their warring clans try to keep Grace and Mason apart. Are their hearts destined to be torn apart by the rivalry among the Everglades clans forever? Steamy shifter scenes inside! 18+ readers only.

    In a last-ditch effort to sort something out, he rents a rickshaw, propelling him into a frantic sub-culture of criminals, misfits and lost souls. Rickshaw is a dangerous bedlam of close calls and near misses and its passengers are the drunken, beaten down and stranded. To work rickshaw, Irish must take a lesson in stamina and shift up through his emotional gears but no matter how hard he pedals, always hot on his heels, is his past. Hilarious, poignant and razor sharp, this debut novel captures the underbelly of London’s West End through a stunningly, gimlet eye and electrifying energy.

    

     George Elder is a man torn between two worlds. In one, he’s a hard-working auto mechanic and wounded war veteran with a mysterious past. In the other he’s a young Weapons Master, just starting out in life. The problem is that he doesn’t know which is real. If either of them actually is. Regardless, if his home in either world is going to survive, George is going to have to become something that he’s never tried to be in either life. A hero.

    This report provides a brief yet comprehensive introduction to Python for engineers, researchers, and data scientists who are already familiar with another programming language.Author Jake VanderPlas, an interdisciplinary research director at the University of Washington, explains Python’s essential syntax and semantics, built-in data types and structures, function definitions, control flow statements, and more, using Python 3 syntax.You’ll explore:- Python syntax basics and running Python codeBasic semantics of Python variables, objects, and operators- Built-in simple types and data structures- Control flow statements for executing code blocks conditionally- Methods for creating and using reusable functionsIterators, list comprehensions, and generators- String manipulation and regular expressions- Python’s standard library and third-party modules- Python’s core data science tools- Recommended resources to help you learn more

    R has traditionally been difficult for non-statisticians to learn, and most R books assume far too much knowledge to be of help. R for Everyone is the solution. Drawing on his unsurpassed experience teaching new users, professional data scientist Jared P. Lander has written the perfect tutorial for anyone new to statistical programming and modeling. Organized to make learning easy and intuitive, this guide focuses on the 20 percent of R functionality you'll need to accomplish 80 percent of modern data tasks. Lander's self-contained chapters start with the absolute basics, offering extensive hands-on practice and sample code. You'll download and install R; navigate and use the R environment; master basic program control, data import, and manipulation; and walk through several essential tests. Then, building on this foundation, you'll construct several complete models, both linear and nonlinear, and use some data mining techniques. By the time you're done, you won't just know how to write R programs, you'll be ready to tackle the statistical problems you care about most. COVERAGE INCLUDES - Exploring R, RStudio, and R packages - Using R for math: variable types, vectors, calling functions, and more - Exploiting data structures, including data.frames, matrices, and lists - Creating attractive, intuitive statistical graphics - Writing user-defined functions - Controlling program flow with if, ifelse, and complex checks - Improving program efficiency with group manipulations - Combining and reshaping multiple datasets - Manipulating strings using R's facilities and regular expressions - Creating normal, binomial, and Poisson probability distributions - Programming basic statistics: mean, standard deviation, and t-tests - Building linear, generalized linear, and nonlinear models - Assessing the quality of models and variable selection - Preventing overfitting, using the Elastic Net and Bayesian methods - Analyzing univariate and multivariate time series data - Grouping data via K-means and hierarchical clustering - Preparing reports, slideshows, and web pages with knitr - Building reusable R packages with devtools and Rcpp - Getting involved with the R global community

    Has he sighted something? Who is the dead man? Is there a threat to her very life?Jackson Gregory was an American teacher, journalist, and writer. Gregory authored more than 40 fiction novels and a number of short stories. Several of his tales were used as the basis of films released between 1916 and 1944, including the 1917 film titled "The Man from Painted Post."

    A magician to the world at large, wielding the powers of magic, only not. That’s just a part of his cover, and a clever use of his true power.His alter ego is Bob Williams who is a powerful telekinetic that works in the civilian business world, no one knows that he’s truly the infamous Mythic, and keeping the streets of Chicago safe from monsters with powers. Supervillains.He isn’t the only superhero vigilante. With the end of the MTF, heroes were back on the streets, but the rules had changed again. Lawful heroes had to by law, reveal who they were, take off the mask. That was something he and the others he fought alongside of simply could not do. Not when they had families vulnerable to any psychotic supervillain bent on revenge for past slights.Things are about to get a lot more complicated for Bob, as he teams up with two of the other vigilantes, Lady Lightning and Elegant Prodigy. Will they be able to keep their secrets from each other?After all, the government had mind reader supers, it wasn’t safe for even allies to know the true identity of a vigilante, lest they all be caught when one was. Join Bob as he fights to protect Chicago, and the surprises in store for him.Content Warning: Not suitable for children. This is a Superhero Harem story with explicitly mature scenes between a man and a woman, and other mature content. This first book has no harem action, but plenty of explicit sex, and the harem aspects will come in book two and three. You have been warned.

    If you're a business or IT professional, this short hands-on guide teaches you how to pull and transform data with SQL in significant ways. You will quickly master the fundamentals of SQL and learn how to create your own databases.Author Thomas Nield provides exercises throughout the book to help you practice your newfound SQL skills at home, without having to use a database server environment. Not only will you learn how to use key SQL statements to find and manipulate your data, but you'll also discover how to efficiently design and manage databases to meet your needs.You'll also learn how to:Explore relational databases, including lightweight and centralized modelsUse SQLite and SQLiteStudio to create lightweight databases in minutesQuery and transform data in meaningful ways by using SELECT, WHERE, GROUP BY, and ORDER BYJoin tables to get a more complete view of your business dataBuild your own tables and centralized databases by using normalized design principlesManage data by learning how to INSERT, DELETE, and UPDATE records

    Beginners and intermediate developers will appreciate the comprehensive tutorial that walks step-by-step through building a real client/server database, from concept to deployment and beyond -- and points out key pitfalls to avoid throughout the process. Experienced users will appreciate the book's comprehensive coverage of the Transact-SQL language, from basic to advanced level; detailed ODBC database access information; expert coverage of concurrency control, and more. The book includes thorough, up-to-the-minute guidance on building multi-tier applications; SQL Server performance tuning; and other crucial issues for advanced developers. For all database developers, system administrators, and Web application developers who interact with databases in Microsoft-centric environments.

    R is one of the most powerful and flexible statistical software packages available, and enables the user to apply a wide variety of statistical methods ranging from simple regression to generalized linear modelling. Statistics: An Introduction using R is a clear and concise introductory textbook to statistical analysis using this powerful and free software, and follows on from the success of the author's previous best-selling title Statistical Computing. * Features step-by-step instructions that assume no mathematics, statistics or programming background, helping the non-statistician to fully understand the methodology. * Uses a series of realistic examples, developing step-wise from the simplest cases, with the emphasis on checking the assumptions (e.g. constancy of variance and normality of errors) and the adequacy of the model chosen to fit the data. * The emphasis throughout is on estimation of effect sizes and confidence intervals, rather than on hypothesis testing. * Covers the full range of statistical techniques likely to be need to analyse the data from research projects, including elementary material like t-tests and chi-squared tests, intermediate methods like regression and analysis of variance, and more advanced techniques like generalized linear modelling. * Includes numerous worked examples and exercises within each chapter. * Accompanied by a website featuring worked examples, data sets, exercises and solutions: http: //www.imperial.ac.uk/bio/research/crawl... Statistics: An Introduction using R is the first text to offer such a concise introduction to a broad array of statistical methods, at a level that is elementary enough to appeal to a broad range of disciplines. It is primarily aimed at undergraduate students in medicine, engineering, economics and biology - but will also appeal to postgraduates who have not previously covered this area, or wish to switch to using R.

    This concise introduction shows you how to perform statistical analysis computationally, rather than mathematically, with programs written in Python.You'll work with a case study throughout the book to help you learn the entire data analysis process—from collecting data and generating statistics to identifying patterns and testing hypotheses. Along the way, you'll become familiar with distributions, the rules of probability, visualization, and many other tools and concepts.Develop your understanding of probability and statistics by writing and testing codeRun experiments to test statistical behavior, such as generating samples from several distributionsUse simulations to understand concepts that are hard to grasp mathematicallyLearn topics not usually covered in an introductory course, such as Bayesian estimationImport data from almost any source using Python, rather than be limited to data that has been cleaned and formatted for statistics toolsUse statistical inference to answer questions about real-world data

    With it has come vast amounts of data in a variety of fields such as medicine, biology, finance, and marketing. The challenge of understanding these data has led to the development of new tools in the field of statistics, and spawned new areas such as data mining, machine learning, and bioinformatics. Many of these tools have common underpinnings but are often expressed with different terminology. This book describes the important ideas in these areas in a common conceptual framework. While the approach is statistical, the emphasis is on concepts rather than mathematics. Many examples are given, with a liberal use of color graphics. It should be a valuable resource for statisticians and anyone interested in data mining in science or industry. The book's coverage is broad, from supervised learning (prediction) to unsupervised learning. The many topics include neural networks, support vector machines, classification trees and boosting—the first comprehensive treatment of this topic in any book. Trevor Hastie, Robert Tibshirani, and Jerome Friedman are professors of statistics at Stanford University. They are prominent researchers in this area: Hastie and Tibshirani developed generalized additive models and wrote a popular book of that title. Hastie wrote much of the statistical modeling software in S-PLUS and invented principal curves and surfaces. Tibshirani proposed the Lasso and is co-author of the very successful An Introduction to the Bootstrap. Friedman is the co-inventor of many data-mining tools including CART, MARS, and projection pursuit.

    Tantalized by the legend of the Driver—the anonymous, possibly nonexistent organizer of the world's ultimate secret race—Roy set out to become a force to be reckoned with. At speeds approaching 200 mph, he sped from London to Morocco, from Budapest to Rome, from San Francisco to Miami, in his highly modified BMW M5, culminating in a new record for the infamous Los Angeles to New York run: 32:07.Sexy, funny, and shocking, The Driver is a never-before-told insider's look at an unbelievably fast and dangerous society that has long been off-limits to ordinary mortals.