A schoolteacher who killed multiple paramours with cyanide; a mother who trained her daughters to kill children; a thug from the 1800s who slaughtered more than 900 people, a manservant who killed girls and devoured their body parts.If you thought serial killers was a Western phenomenon, think again!These bone-chilling stories in The Deadly Dozen will take you into the hearts and heads of India's most devious murderers and schemers, exploring what made them kill and why?

    Dressed to kill and running on pure ambition, he enters the ranks of mortgage-backed securities trader twice his age, for one of the most prestigious firms in San Francisco. Life couldn't be sweeter. Butt the roller coaster ride has only just begun. Upon meeting Stephanie, an equally enterprising young real estate appraiser, his dreams appear to be unstoppable. But unbridled love too often hides the truth in its shadow and not everything is as it appears. As he discovers the world of real estate investment, experiencing a soaring financial wave never seen before in the housing market, Matt is welcomed with open arms into a seductive arena almost too good to be true. When insatiable greed raises its ugly head, jealousy and betrayal follow quickly behind. In a moment of brutal clarity, his world shatters with the realization he is merely a pawn in someone else's wicked game. Just as quickly as it all begun, the housing bubble begins to burst and his dreams slip through his fingers as he desperately struggles to hold on to a world that never really existed.

    

    HarperCollins is proud to present its new range of best-loved, essential classics.

    This book was previously withdrawn from its original publisher and is now being released in an author's edition. Same book, new publisher. Stephen King calls Hesh Kestin’s The Siege of Tel Aviv “scarier than anything Stephen King ever wrote.” Iran leads five armies in a brutal victory over Israel, which ceases to exist. Within hours, its leaders are rounded up and murdered, the IDF is routed, and the country's six million Jews concentrated in Tel Aviv, which becomes a starving ghetto. While the US and the West sit by, Israel's enemies prepare to kill off the entire population. On the eve of genocide, Tel Aviv makes one last attempt to save itself, as an Israeli businessman, a gangster, and a cross-dressing fighter pilot put together a daring plan to counterattack. Will it succeed? The Siege of Tel Aviv is as as bizarrely funny as it is fast-paced. In the words of Stephen King: “An irrepressible sense of humor runs through it. It’s not satire I’m talking about―it’s stuff like the cross-dressing pilot (my favorite character) and any number of deliciously absurd situations (the pink jets). It’s the inevitable result of an eye that sees the funny side, even in horror. So few writers have that. This novel will cause talk and controversy. Most of all, it will be read.”

     The research (conducted by the Center for the Study of Intent) uncovered a new dimension of human development and has revolutionized the way personal growth, meaning, happiness, and ultimately advanced spiritual topics such as ‘enlightenment’ are understood. The results, if you let them, will transform the quality of your life in ways you currently cannot even imagine as possible. During the research a formula was uncovered that is so effective at producing what seems like miracles in people’s lives it began to be referred to as the “God Formula” among participants and researchers. This book outlines that formula, and is the final version of the highly successful training material that was used with research participants. These researchers became the first scientists to successfully experiment with this new developmental continuum. The result has been the discovery of a series of techniques that lead from everyday consciousness to increased daily happiness and satisfaction, and finally to enlightenment and beyond (yes, there is a beyond!). This book covers the first stages of this process. You can view a summary of the results from the research phase that related to it, and later ones at: CenterForIntent.org/freedom. This book covers three primary components that combine to form a complete system of person growth, and an assortment of techniques for each component. While it provides the components, how they need to come together for maximum effectiveness will be unique to you. You’ll need to experiment with various combinations of these techniques until you find the one that works best for you. This may sound unusual. You’re probably used to reading books where the authors assert they have the one answer for everyone. The researchers at the Center tested an enormous number of techniques but didn’t find a single one that was helpful to more than a handful of individuals…when it was beneficial for anyone at all. However, they learned that there are a relatively small number of techniques that can be combined in ways that are incredibly effective. You just have to find the unique combination of these techniques that works for you right now. This book provides the distilled down wisdom from all of that testing. They were able to successfully identify core components from the methods that proved themselves. However, no one can tell you how to combine those components to get them to work best for you. People are simply too different for that to be possible. So, you’ll have to join the team, be your own scientist, and experiment! The good news is that the researchers spent an enormous amount of time and money narrowing down the possibilities for you. Most of the research participants were able to use this book to find the combination that worked for them quite quickly. It is likely the same will be true for you.It’s important that you not take the information this book contains lightly. Unlike other personal growth and self help books, this one is driven by a vast amount of actual research into what works. It was revised continually based on research participant feedback, so it’s very simple and easy to understand and use. But don’t let this simplicity fool you. Every line is there for a reason. This material has changed a lot of lives, if you’ll let it…yours can be next.

    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

    Designed for two-semester, beginning graduate courses in Mathematical Statistics, and for senior undergraduate Mathematics, Statistics, and Actuarial Science majors, this text retains its ongoing features and continues to provide students with background material.

    Terry Lawler had exposed the secrets of powerful people and apparently got his comeuppance.But when DI Tara Grogan digs further, she makes a startling discovery. Within the victim’s home are details about dozens of missing women. Details that might only be known to the last person who saw them.Just what was his connection to these disappearances in Belfast and Liverpool? Has Grogan stumbled upon evidence of a serial killer who someone else has got to first?In which case, exactly who is Grogan hunting for? And does she really want to find them?

    Naseby, England. Baroness De Meaux lives a comfortable life and is content with where she fits into the hierarchy of society. She was groomed for the story she’s telling but several things set her apart from everyone around her. When her mother passes away suddenly, the visions she hides from the world—the ones that show her the future—force their way to the surface. And when she’s faced with the impossible, it leaves her questioning just how far apart her two contradicting worlds really are from another. Can Margaret make peace with her past and what she assumes is her imagination? Or will she give into the myths from her childhood to shape the future? Through it all, Margaret knows one truth is universal: trust is hard-won and easily broken when you don’t know who’s on your side.

    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.

    "Basics of Web Design: HTML5 and CSS3, 2e "covers the basic concepts that web designers need to develop their skills: Introductory Internet and Web concepts Creating web pages with HTML5 Configuring text, color, and page layout with Cascading Style Sheets Configuring images and multimedia on web pages Web design best practices Accessibility, usability, and search engine optimization considerations Obtaining a domain name and web host Publishing to the Web

    Friends and neighbours have died, been evicted or given up what little land they have in search of alms. Michael Flynn is one of the lucky ones. His landlord has offered support. Michael and his family have done all they can to help their immediate household, but as the famine and its aftermath continue, have their efforts been enough? With the weakening brought about by hunger, there are some things he is powerless to protect his family from. Is it time for the great Michael Flynn to take his family in search of a better life? Download now to find out

    Its world-class authors provide guidance on all aspects of Bayesian data analysis and include examples of real statistical analyses, based on their own research, that demonstrate how to solve complicated problems. Changes in the new edition include:Stronger focus on MCMC Revision of the computational advice in Part III New chapters on nonlinear models and decision analysis Several additional applied examples from the authors' recent research Additional chapters on current models for Bayesian data analysis such as nonlinear models, generalized linear mixed models, and more Reorganization of chapters 6 and 7 on model checking and data collectionBayesian computation is currently at a stage where there are many reasonable ways to compute any given posterior distribution. However, the best approach is not always clear ahead of time. Reflecting this, the new edition offers a more pluralistic presentation, giving advice on performing computations from many perspectives while making clear the importance of being aware that there are different ways to implement any given iterative simulation computation. The new approach, additional examples, and updated information make Bayesian Data Analysis an excellent introductory text and a reference that working scientists will use throughout their professional life.

    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