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Publisher: Cengage Learning
ISBN: 0357715985
Category :
Languages : en
Pages : 1218

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Author: Deborah J. Rumsey
Publisher: John Wiley & Sons
ISBN: 1119293529
Category : Mathematics
Languages : en
Pages : 423

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Book Description
The fun and easy way to get down to business with statistics Stymied by statistics? No fear? this friendly guide offers clear, practical explanations of statistical ideas, techniques, formulas, and calculations, with lots of examples that show you how these concepts apply to your everyday life. Statistics For Dummies shows you how to interpret and critique graphs and charts, determine the odds with probability, guesstimate with confidence using confidence intervals, set up and carry out a hypothesis test, compute statistical formulas, and more. Tracks to a typical first semester statistics course Updated examples resonate with today's students Explanations mirror teaching methods and classroom protocol Packed with practical advice and real-world problems, Statistics For Dummies gives you everything you need to analyze and interpret data for improved classroom or on-the-job performance.

Author: John H. Elliott
Publisher: Wipf and Stock Publishers
ISBN: 1532638515
Category : Religion
Languages : en
Pages : 1222

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Book Description
In the Sermon on the Mount, Jesus of Nazareth makes reference to one of the oldest beliefs in the ancient world—the malignity of an Evil Eye. The Holy Scriptures in their original languages contain no less than twenty-four references to the Evil Eye, although this is obscured by most modern Bible translations. John H. Elliott’s Beware the Evil Eye describes this belief and associated practices, its history, its voluminous appearances in ancient cultures, and the extensive research devoted to it over the centuries in order to unravel this enigma for readers who have never heard of the Evil Eye and its presence in the Bible. The four volumes cover the ancient world from Sumer to the Middle Ages.

Author: Sheldon M. Ross
Publisher: Academic Press
ISBN: 0080922104
Category : Mathematics
Languages : en
Pages : 841

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Book Description
Introductory Statistics, Third Edition, presents statistical concepts and techniques in a manner that will teach students not only how and when to utilize the statistical procedures developed, but also to understand why these procedures should be used. This book offers a unique historical perspective, profiling prominent statisticians and historical events in order to motivate learning. To help guide students towards independent learning, exercises and examples using real issues and real data (e.g., stock price models, health issues, gender issues, sports, scientific fraud) are provided. The chapters end with detailed reviews of important concepts and formulas, key terms, and definitions that are useful study tools. Data sets from text and exercise material are available for download in the text website. This text is designed for introductory non-calculus based statistics courses that are offered by mathematics and/or statistics departments to undergraduate students taking a semester course in basic Statistics or a year course in Probability and Statistics. - Unique historical perspective profiling prominent statisticians and historical events to motivate learning by providing interest and context - Use of exercises and examples helps guide the student towards indpendent learning using real issues and real data, e.g. stock price models, health issues, gender issues, sports, scientific fraud. - Summary/Key Terms- chapters end with detailed reviews of important concepts and formulas, key terms and definitions which are useful to students as study tools

Author: Burcu E. Ozkaraova Gungor
Publisher: BoD – Books on Demand
ISBN: 9533077409
Category : Technology & Engineering
Languages : en
Pages : 410

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Book Description
Our dependence on soil, and our curiosity about it, is leading to the investigation of changes within soil processes. Furthermore, the diversity and dynamics of soil are enabling new discoveries and insights, which help us to understand the variations in soil processes. Consequently, this permits us to take the necessary measures for soil protection, thus promoting soil health. This book aims to provide an up-to-date account of the current state of knowledge in recent practices and assessments in soil science. Moreover, it presents a comprehensive evaluation of the effect of residue/waste application on soil properties and, further, on the mechanism of plant adaptation and plant growth. Interesting examples of simulation using various models dealing with carbon sequestration, ecosystem respiration, and soil landscape, etc. are demonstrated. The book also includes chapters on the analysis of areal data and geostatistics using different assessment methods. More recent developments in analytical techniques used to obtain answers to the various physical mechanisms, chemical, and biological processes in soil are also present.

Author: Bruce Barnbaum
Publisher: Rocky Nook, Inc.
ISBN: 1681982129
Category : Photography
Languages : en
Pages : 841

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Book Description
This is an updated and newly revised edition of the classic book The Art of Photography: An Approach to Personal Expression. Originally published in 1994 and first revised in 2010, The Art of Photography has sold well over 100,000 copies and has firmly established itself as the most readable, understandable, and complete textbook on photography. Featuring nearly 200 beautiful photographs in both black-and-white and color, as well as numerous charts, graphs, and tables, this book presents the world of photography to beginner, intermediate, and advanced photographers who seek to make a personal statement through the medium of photography. Without talking down to anyone or talking over anyone's head, renowned photographer, teacher, and author Bruce Barnbaum presents how-to techniques for both traditional and digital approaches. In this newest edition of the book, Barnbaum has included many new images and has completely revised the text, with particular focus on two crucial chapters covering digital photography: he revised a chapter covering the digital zone system, and includes a brand-new chapter on image adjustments using digital tools. There is also a new chapter discussing the concepts of “art versus technique” and “traditional versus digital” approaches to photography. Throughout the book, Barnbaum goes well beyond the technical, as he delves deeply into the philosophical, expressive, and creative aspects of photography so often avoided in other books. Barnbaum is recognized as one of the world's finest landscape and architectural photographers, and for decades has been considered one of the best instructors in the field of photography. This latest incarnation of his textbook—which has evolved, grown, and been refined over the past 45 years—will prove to be an ongoing, invaluable photographic reference for years to come. It is truly the resource of choice for the thinking photographer. Topics include: • Elements of Composition • Visualization • Light and Color • Filters • Black-and-White • The Digital Zone System • The Zone System for Film • Printing and Presentation • Exploding Photographic Myths • Artistic Integrity • Realism, Abstraction, and Art • Creativity and Intuition • A Personal Philosophy • And much, much more…

Author: Babak Shahbaba
Publisher: Springer Science & Business Media
ISBN: 146141301X
Category : Medical
Languages : en
Pages : 355

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Book Description
Biostatistics with R is designed around the dynamic interplay among statistical methods, their applications in biology, and their implementation. The book explains basic statistical concepts with a simple yet rigorous language. The development of ideas is in the context of real applied problems, for which step-by-step instructions for using R and R-Commander are provided. Topics include data exploration, estimation, hypothesis testing, linear regression analysis, and clustering with two appendices on installing and using R and R-Commander. A novel feature of this book is an introduction to Bayesian analysis. This author discusses basic statistical analysis through a series of biological examples using R and R-Commander as computational tools. The book is ideal for instructors of basic statistics for biologists and other health scientists. The step-by-step application of statistical methods discussed in this book allows readers, who are interested in statistics and its application in biology, to use the book as a self-learning text.

Author: Olivier Lecarme
Publisher: No Starch Press
ISBN: 1593273835
Category : Computers
Languages : en
Pages : 679

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Book Description
A two-in-one guidebook and reference manual to the free graphics-editing program provides a comprehensive introduction to GIMP's many features while offering step-by-step instructions for a series of projects that encompass photo retouching, logo animation and website visuals. Original.

Author: David Forsyth
Publisher: Springer
ISBN: 3319644106
Category : Computers
Languages : en
Pages : 374

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Book Description
This textbook is aimed at computer science undergraduates late in sophomore or early in junior year, supplying a comprehensive background in qualitative and quantitative data analysis, probability, random variables, and statistical methods, including machine learning. With careful treatment of topics that fill the curricular needs for the course, Probability and Statistics for Computer Science features: • A treatment of random variables and expectations dealing primarily with the discrete case. • A practical treatment of simulation, showing how many interesting probabilities and expectations can be extracted, with particular emphasis on Markov chains. • A clear but crisp account of simple point inference strategies (maximum likelihood; Bayesian inference) in simple contexts. This is extended to cover some confidence intervals, samples and populations for random sampling with replacement, and the simplest hypothesis testing. • A chapter dealing with classification, explaining why it’s useful; how to train SVM classifiers with stochastic gradient descent; and how to use implementations of more advanced methods such as random forests and nearest neighbors. • A chapter dealing with regression, explaining how to set up, use and understand linear regression and nearest neighbors regression in practical problems. • A chapter dealing with principal components analysis, developing intuition carefully, and including numerous practical examples. There is a brief description of multivariate scaling via principal coordinate analysis. • A chapter dealing with clustering via agglomerative methods and k-means, showing how to build vector quantized features for complex signals. Illustrated throughout, each main chapter includes many worked examples and other pedagogical elements such as boxed Procedures, Definitions, Useful Facts, and Remember This (short tips). Problems and Programming Exercises are at the end of each chapter, with a summary of what the reader should know. Instructor resources include a full set of model solutions for all problems, and an Instructor's Manual with accompanying presentation slides.

Author: Gareth James
Publisher: Springer Nature
ISBN: 3031387473
Category : Mathematics
Languages : en
Pages : 617

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Book Description
An Introduction to Statistical Learning provides an accessible overview of the field of statistical learning, an essential toolset for making sense of the vast and complex data sets that have emerged in fields ranging from biology to finance, marketing, and astrophysics in the past twenty years. This book presents some of the most important modeling and prediction techniques, along with relevant applications. Topics include linear regression, classification, resampling methods, shrinkage approaches, tree-based methods, support vector machines, clustering, deep learning, survival analysis, multiple testing, and more. Color graphics and real-world examples are used to illustrate the methods presented. This book is targeted at statisticians and non-statisticians alike, who wish to use cutting-edge statistical learning techniques to analyze their data. Four of the authors co-wrote An Introduction to Statistical Learning, With Applications in R (ISLR), which has become a mainstay of undergraduate and graduate classrooms worldwide, as well as an important reference book for data scientists. One of the keys to its success was that each chapter contains a tutorial on implementing the analyses and methods presented in the R scientific computing environment. However, in recent years Python has become a popular language for data science, and there has been increasing demand for a Python-based alternative to ISLR. Hence, this book (ISLP) covers the same materials as ISLR but with labs implemented in Python. These labs will be useful both for Python novices, as well as experienced users.