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The Handbook of Research Synthesis and Meta-Analysis by Harris Cooper
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Thin Ice
K.R. Bankston - 2011
It’s also home to Ian “Ice” Bailey a man as dangerous as he is sexy. Our story begins on the East side, where we meet Ice and our supporting cast. Kaitlyn “KiKi” Ross and Jaleesa “Tweety” Mitchell; two ladies who can hold their own in the game, making moves and plays as well as any of their male counterparts. Things are fine until Tweety crosses the line, unwittingly dragging KiKi along, and invade Ice’s territory. That’s when everything becomes complicated.Throw in a romantic triangle or three and the fun really starts. Ice has a thing for KiKi, but she has a thing for Tariq. Tariq Taylor is the short order cook she sells smack to and thinks he’s a junkie. Tariq is into KiKi, but Landon, the guy who works for the arena league that KiKi meets at the club, is determined she’s going to be with him. Confused yet? No? Well there’s Tweety’s man Evan, Landon’s friend, who isn’t what he presents himself to be and who also happens to have hidden lust for KiKi.Ice is not a man accustomed to hearing no, or being outwitted in his business. His reaction to both is force, sometimes deadly. Begin the ride with us and meet all the players in our serial drama, starting with the beginning, BEWARE: Thin Ice.
Math, Better Explained: Learn to Unlock Your Math Intuition
Kalid Azad - 2011
Whether you're a student, parent, or teacher, this book is your key to unlocking the aha! moments that make math truly click -- and make learning enjoyable.The book intentionally avoids mindless definitions and focuses on building a deep, natural intuition so you can integrate the ideas into your everyday thinking. Its explanations on the natural logarithm, imaginary numbers, exponents and the Pythagorean Theorem are among the most-visited in the world.The topics in Math, Better Explained include:1. Developing Math Intuition2. The Pythagorean Theorem3. Pythagorean Distance4. Radians and Degrees5. Imaginary Numbers6. Complex Arithmetic7. Exponential Functions & e8. The Natural Logarithm (ln)9. Interest Rates10. Understanding Exponents11. Euler’s Formula12. Introduction To CalculusThe book is written as the author wishes math was taught: with a friendly attitude, vivid illustrations and a focus on true understanding. Learn right, not rote!
The Taming Of Chance
Ian Hacking - 1990
Professor Hacking shows how by the late nineteenth century it became possible to think of statistical patterns as explanatory in themselves, and to regard the world as not necessarily deterministic in character. Combining detailed scientific historical research with characteristic philosophic breath and verve, The Taming of Chance brings out the relations among philosophy, the physical sciences, mathematics and the development of social institutions, and provides a unique and authoritative analysis of the probabilization of the Western world.
Introductory Statistics with R
Peter Dalgaard - 2002
It can be freely downloaded and it works on multiple computer platforms. This book provides an elementary introduction to R. In each chapter, brief introductory sections are followed by code examples and comments from the computational and statistical viewpoint. A supplementary R package containing the datasets can be downloaded from the web.
Historic Preservation: An Introduction to Its History, Principles, and Practice
Norman Tyler - 1999
I use it as a course text.--Lauren Sickels-Taves, architectural conservator, Henry Ford Museum Greenfield VillageHistoric Preservation provides a thorough overview of the theory, technique, and procedure for preserving our architectural heritage. The perfect introduction for architecture students, local officials, community leaders, and the interested layperson, it covers preservation philosophy, the history of the movement, the role of national, state, and local government, the designation and documentation of historic structures, establishing a historic district, architectural styles, sensitive architectural design and planning, preservation technology, and the economics of building rehabilitation.
R Cookbook: Proven Recipes for Data Analysis, Statistics, and Graphics
Paul Teetor - 2011
The R language provides everything you need to do statistical work, but its structure can be difficult to master. This collection of concise, task-oriented recipes makes you productive with R immediately, with solutions ranging from basic tasks to input and output, general statistics, graphics, and linear regression.Each recipe addresses a specific problem, with a discussion that explains the solution and offers insight into how it works. If you're a beginner, R Cookbook will help get you started. If you're an experienced data programmer, it will jog your memory and expand your horizons. You'll get the job done faster and learn more about R in the process.Create vectors, handle variables, and perform other basic functionsInput and output dataTackle data structures such as matrices, lists, factors, and data framesWork with probability, probability distributions, and random variablesCalculate statistics and confidence intervals, and perform statistical testsCreate a variety of graphic displaysBuild statistical models with linear regressions and analysis of variance (ANOVA)Explore advanced statistical techniques, such as finding clusters in your dataWonderfully readable, R Cookbook serves not only as a solutions manual of sorts, but as a truly enjoyable way to explore the R language--one practical example at a time.--Jeffrey Ryan, software consultant and R package author
Discovering Statistics Using SPSS (Introducing Statistical Methods)
Andy Field - 2000
What's new in the Second Edition? 1. Fully compliant with the latest version of SPSS version 12 2. More coverage of advanced statistics including completely new coverage of non-parametric statistics. The book is 50 per cent longer than the First Edition. 3. Each section of each chapter now has a notation - 1,2 or 3 - referring to the intended level of study. This helps students navigate their way through the book and makes it user-friendly for students of ALL levels. 4. Has a 'how to use this book' section at the start of the text. 5. Characters in each chapter have defined roles - summarizing key points, to pose questions etc 6. Each chapter now has several examples for students to work through. Answers provided on the enclosed CD-ROM
Understanding Analysis
Stephen Abbott - 2000
The aim of a course in real analysis should be to challenge and improve mathematical intuition rather than to verify it. The philosophy of this book is to focus attention on questions which give analysis its inherent fascination.
Elementary Analysis: The Theory of Calculus
Kenneth A. Ross - 1980
It is highly recommended for anyone planning to study advanced analysis, e.g., complex variables, differential equations, Fourier analysis, numerical analysis, several variable calculus, and statistics. It is also recommended for future secondary school teachers. A limited number of concepts involving the real line and functions on the real line are studied. Many abstract ideas, such as metric spaces and ordered systems, are avoided. The least upper bound property is taken as an axiom and the order properties of the real line are exploited throughout. A thorough treatment of sequences of numbers is used as a basis for studying standard calculus topics. Optional sections invite students to study such topics as metric spaces and Riemann-Stieltjes integrals.
The Art and Craft of Problem Solving
Paul Zeitz - 1999
Readers are encouraged to do math rather than just study it. The author draws upon his experience as a coach for the International Mathematics Olympiad to give students an enhanced sense of mathematics and the ability to investigate and solve problems.
Writing Your Dissertation
Derek Swetnam - 1995
For many students this can be a terrifying experience. Although colleges and universities may have different systems, basic principles for planning research and making the compromise between what is desirable and what is feasable are the same. This book aims to provide a plain guide to ways of producing a dissertation with minimum stress and frustration. It covers such areas as choosing a subject, planning the total work, selecting research methods and techniques, written style and presentation.
Applied Predictive Modeling
Max Kuhn - 2013
Non- mathematical readers will appreciate the intuitive explanations of the techniques while an emphasis on problem-solving with real data across a wide variety of applications will aid practitioners who wish to extend their expertise. Readers should have knowledge of basic statistical ideas, such as correlation and linear regression analysis. While the text is biased against complex equations, a mathematical background is needed for advanced topics. Dr. Kuhn is a Director of Non-Clinical Statistics at Pfizer Global R&D in Groton Connecticut. He has been applying predictive models in the pharmaceutical and diagnostic industries for over 15 years and is the author of a number of R packages. Dr. Johnson has more than a decade of statistical consulting and predictive modeling experience in pharmaceutical research and development. He is a co-founder of Arbor Analytics, a firm specializing in predictive modeling and is a former Director of Statistics at Pfizer Global R&D. His scholarly work centers on the application and development of statistical methodology and learning algorithms. Applied Predictive Modeling covers the overall predictive modeling process, beginning with the crucial steps of data preprocessing, data splitting and foundations of model tuning. The text then provides intuitive explanations of numerous common and modern regression and classification techniques, always with an emphasis on illustrating and solving real data problems. Addressing practical concerns extends beyond model fitting to topics such as handling class imbalance, selecting predictors, and pinpointing causes of poor model performance-all of which are problems that occur frequently in practice. The text illustrates all parts of the modeling process through many hands-on, real-life examples. And every chapter contains extensive R code f
How the World Is Made: The Story of Creation according to Sacred Geometry
John Michell - 2009
The laws of geometry are not human inventions. They are found ready-made in nature and hold a truth that is the same in all times and all places and is older than the world itself. In How the World Is Made John Michell explains how ancient societies that grasped the timeless principles of sacred geometry were able to create flourishing societies. His more than 300 full-color illustrations reveal the secret code within these geometrical figures and how they express the spiritual meanings in the key numbers of 1 through 12. For example, the number 8 and its octagon are symbols of peace and stability, the holy 7 and its seven-sided figure are connected to the world-soul. He identifies the various regular shapes and shows their constructions; their natural symbolism; their meetings, matings, and ways of breeding; and their functions within the universal order. Some are musical and structural, others relate to life and humanity. In the process of making these discoveries, Michell helps us see the world in a new light. Disparate shapes and their corresponding numbers are woven together, resolving themselves into an all-inclusive world image--that “pattern in the heavens,” as Socrates called it, “which anyone can find and establish within themselves.”
Thinking Mathematically
John Mason - 1982
It demonstrates how to encourage, develop, and foster the processes which seem to come naturally to mathematicians.
Renegade Dreams: Living through Injury in Gangland Chicago
Laurence Ralph - 2014
Walking the streets of one of Chicago’s most violent neighborhoods—where the local gang has been active for more than fifty years—Laurence Ralph talks with people whose lives are irrecoverably damaged, seeking to understand how they cope and how they can be better helped. Going deep into a West Side neighborhood most Chicagoans only know from news reports—a place where children have been shot just for crossing the wrong street—Ralph unearths the fragile humanity that fights to stay alive there, to thrive, against all odds. He talks to mothers, grandmothers, and pastors, to activists and gang leaders, to the maimed and the hopeful, to aspiring rappers, athletes, or those who simply want safe passage to school or a steady job. Gangland Chicago, he shows, is as complicated as ever. It’s not just a warzone but a community, a place where people’s dreams are projected against the backdrop of unemployment, dilapidated housing, incarceration, addiction, and disease, the many hallmarks of urban poverty that harden like so many scars in their lives. Recounting their stories, he wrestles with what it means to be an outsider in a place like this, whether or not his attempt to understand, to help, might not in fact inflict its own damage. Ultimately he shows that the many injuries these people carry—like dreams—are a crucial form of resilience, and that we should all think about the ghetto differently, not as an abandoned island of unmitigated violence and its helpless victims but as a neighborhood, full of homes, as a part of the larger society in which we all live, together, among one another.