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Don't Know Much About(r) Mythology: Everything You Need to Know about the Greatest Stories in Human History But Never Learned

Don't Know Much About(r) Mythology: Everything You Need to Know about the Greatest Stories in Human History But Never Learned

Kenneth C. Davis

HARPER PAPERBACKS
2006
nidottu
In this fascinating installment of the New York Times bestselling Don't Know Much About(R) series, Kenneth C. Davis explores the great myths of the world and their implications for art, science, religion and culture throughout history.What is an Egyptian pyramid doing on the U. S. dollar bill? - Did a pharaoh inspire Moses to worship one God? - What's a Canaanite demoness doing at a rock concert?Since the beginning of time, people have been insatiably curious. They've asked questions about where we come from, why the stars shine and the seasons change, and what constitutes evil. The imaginative answers crafted by our ancestors have served as religion, science, philosophy, and popular literature.In an engaging and delightfully irreverent question-and-answer style, Davis tackles the epic of Gilgamesh; Achilles and the Trojan War; Stonehenge and the Druids; Odin, Thor, and the entire Norse pantheon; Native American myths, and much more, including the dramatic life and times of the man who would be Buddha. From Mount Olympus to Machu Picchu, here is an insightful, lively look at the greatest stories ever told.
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Don't Know Much About(r) Anything: Everything You Need to Know But Never Learned about People, Places, Events, and More!

Don't Know Much About(r) Anything: Everything You Need to Know But Never Learned about People, Places, Events, and More!

Kenneth C. Davis

HARPER PAPERBACKS
2007
nidottu
In his wildly entertaining, winningly irreverent, New York Times bestselling Don't Know Much About(R) series, author Kenneth C. Davis has amused and edified us with fascinating facts about history, mythology, the Bible, the universe, geography, and the Civil War.Now, the sky's the limit in his latest irresistible installment--a grand tour of knowledge that carries us from the Great Smoky Mountains to the Berlin Wall, from the Salem Witch Trials to Watergate, from Michelangelo to Houdini. Brimming with busted myths, gripping true stories, and peculiar particulars about a plethora of people, places, and events, this captivating compendium is guaranteed to delight information lovers everywhere as it feeds our insatiable appetite to know everything
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Don't Know Much About(r) Anything Else: Even More Things You Need to Know But Never Learned about People, Places, Events, and More!

Don't Know Much About(r) Anything Else: Even More Things You Need to Know But Never Learned about People, Places, Events, and More!

Kenneth C. Davis

HARPER PAPERBACKS
2008
nidottu
"Reading Davis] is like returning to the classroom of the best teacher you ever had."-- PeopleFor years, Kenneth C. Davis has enlightened and enthralled us, opening our minds and tickling our fancies with his wonderfully irreverent, fun, and factual Don't Know Much About(R) series. He has carried readers on wild and edifying rides through history, mythology, geography, the Bible, the Civil War, even across the universe. Now, following on the heels of his triumphant New York Times bestseller Don't Know Much About(R) Anything, comes Don't Know Much About(R) Anything Else, a one-stop potpourri of intriguing information. Chock-full of delightful historical snippets and fascinating people, remarkable milestones and boneheaded blunders, and eye-opening, brain-boggling facts about simply anything and everything in the world, here is the ideal companion for those long car rides, plane flights, quality family hours, or relaxing downtime.
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Don't Know Much About(r) Literature: What You Need to Know But Never Learned about Great Books and Authors

Don't Know Much About(r) Literature: What You Need to Know But Never Learned about Great Books and Authors

Kenneth C. Davis

HARPER PAPERBACKS
2009
nidottu
From Homer to Harry Potter, from Chaucer to Charlotte's Web, acompelling book of quizzes on history's most influential literary worksand writersDid a whale named "Mocha Dick" inspire Melville's masterpiece?Who was the first poet to speak at a presidential inauguration?Which French-speaking high school football star shook up the literary world?Do you freeze when someone mentions Faulkner? When the conversation turns to the Odyssey, do you want to take a hike? Have no fear. For years, Kenneth C. Davis's New York Times bestselling Don't Know Much About(R) books have enlightened and enthralled us with a winning blend of fascinating facts and wonderfully irreverent fun. Now he sets his sights on our literary IQ in Don't Know Much About(R) Literature. With this rich treasure trove of knowledge and intriguing information about the world's great books and authors, Kenneth Davis and his daughter, Jenny, demystify Dracula, capture Kafka, and help you brush up on your Bront in the inimitable and endlessly entertaining Don't Know Much About(R) style.
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Don't Know Much About(r) Geography: Revised and Updated Edition

Don't Know Much About(r) Geography: Revised and Updated Edition

Kenneth C. Davis

HARPER PAPERBACKS
2013
nidottu
Don't Know Much About Geography by New York Times bestselling author Kenneth C. Davis is a fascinating and fun exploration of our planet. Geography is the hub from which other disciplines radiate: meteorology, ecology, geology, oceanography, demographics, cartography, agricultural studies, economics, and political science. In addition to presenting geographical trivia that'll impress your friends, Davis explores 21st-century topics of global concern, including the role of the Internet and technology in transforming the lives of people around the world, how so-called developing nations develop, sustainability, and the debates over climate change and evolutionary science. This completely revised and updated version of Don't Know Much About Geography is an entertaining and illuminating grand tour of planet Earth.
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Don't Know Much About(r) History [30th Anniversary Edition]: Everything You Need to Know about American History But Never Learned

Don't Know Much About(r) History [30th Anniversary Edition]: Everything You Need to Know about American History But Never Learned

Kenneth C. Davis

HARPER PAPERBACKS
2020
nidottu
A New York Times bestseller - More than 1.7 Million Copies Sold "Reading Davis is like returning to the classroom of the best teacher you ever had " --People magazineFrom the arrival of Columbus through the historic election of Barack Obama and beyond, Kenneth C. Davis carries readers on a rollicking ride through more than five hundred years of American history. In this 30th anniversary edition of the classic anti-textbook--which includes a new preface by Davis--he debunks, recounts, and serves up the real story behind the myths and fallacies of American history.
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Practical Time Series Forecasting with R: A Hands-On Guide [2nd Edition]

Practical Time Series Forecasting with R: A Hands-On Guide [2nd Edition]

Kenneth C. Lichtendahl; Galit Shmueli

Axelrod Schnall Publishers
2016
nidottu
Practical Time Series Forecasting with R: A Hands-On Guide, Second Edition provides an applied approach to time-series forecasting. Forecasting is an essential component of predictive analytics. The book introduces popular forecasting methods and approaches used in a variety of business applications. The book offers clear explanations, practical examples, and end-of-chapter exercises and cases. Readers will learn to use forecasting methods using the free open-source R software to develop effective forecasting solutions that extract business value from time-series data.Featuring improved organization and new material, the Second Edition also includes: Popular forecasting methods including smoothing algorithms, regression models, and neural networksA practical approach to evaluating the performance of forecasting solutionsA business-analytics exposition focused on linking time-series forecasting to business goalsGuided cases for integrating the acquired knowledge using real dataEnd-of-chapter problems to facilitate active learningA companion site with data sets, R code, learning resources, and instructor materials (solutions to exercises, case studies)Globally-available textbook, available in both softcover and Kindle formatsPractical Time Series Forecasting with R: A Hands-On Guide, Second Edition is the perfect textbook for upper-undergraduate, graduate and MBA-level courses as well as professional programs in data science and business analytics. The book is also designed for practitioners in the fields of operations research, supply chain management, marketing, economics, finance and management.For more information, visit forecastingbook.com
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The Last Victorian: R.D. Blackmore and His Novels

The Last Victorian: R.D. Blackmore and His Novels

Kenneth George 1904- Budd

Hassell Street Press
2021
sidottu
This work has been selected by scholars as being culturally important and is part of the knowledge base of civilization as we know it.This work is in the public domain in the United States of America, and possibly other nations. Within the United States, you may freely copy and distribute this work, as no entity (individual or corporate) has a copyright on the body of the work.Scholars believe, and we concur, that this work is important enough to be preserved, reproduced, and made generally available to the public. To ensure a quality reading experience, this work has been proofread and republished using a format that seamlessly blends the original graphical elements with text in an easy-to-read typeface.We appreciate your support of the preservation process, and thank you for being an important part of keeping this knowledge alive and relevant.
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The Last Victorian: R.D. Blackmore and His Novels

The Last Victorian: R.D. Blackmore and His Novels

Kenneth George 1904- Budd

Hassell Street Press
2021
nidottu
This work has been selected by scholars as being culturally important and is part of the knowledge base of civilization as we know it.This work is in the public domain in the United States of America, and possibly other nations. Within the United States, you may freely copy and distribute this work, as no entity (individual or corporate) has a copyright on the body of the work.Scholars believe, and we concur, that this work is important enough to be preserved, reproduced, and made generally available to the public. To ensure a quality reading experience, this work has been proofread and republished using a format that seamlessly blends the original graphical elements with text in an easy-to-read typeface.We appreciate your support of the preservation process, and thank you for being an important part of keeping this knowledge alive and relevant.
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Introduction to Probability with R

Introduction to Probability with R

Kenneth Baclawski

TAYLOR FRANCIS LTD
2023
nidottu
Based on a popular course taught by the late Gian-Carlo Rota of MIT, with many new topics covered as well, Introduction to Probability with R presents R programs and animations to provide an intuitive yet rigorous understanding of how to model natural phenomena from a probabilistic point of view. Although the R programs are small in length, they are just as sophisticated and powerful as longer programs in other languages. This brevity makes it easy for students to become proficient in R.This calculus-based introduction organizes the material around key themes. One of the most important themes centers on viewing probability as a way to look at the world, helping students think and reason probabilistically. The text also shows how to combine and link stochastic processes to form more complex processes that are better models of natural phenomena. In addition, it presents a unified treatment of transforms, such as Laplace, Fourier, and z; the foundations of fundamental stochastic processes using entropy and information; and an introduction to Markov chains from various viewpoints. Each chapter includes a short biographical note about a contributor to probability theory, exercises, and selected answers.The book has an accompanying website with more information.
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Introduction to Probability with R

Introduction to Probability with R

Kenneth Baclawski

Chapman Hall/CRC
2008
sidottu
Based on a popular course taught by the late Gian-Carlo Rota of MIT, with many new topics covered as well, Introduction to Probability with R presents R programs and animations to provide an intuitive yet rigorous understanding of how to model natural phenomena from a probabilistic point of view. Although the R programs are small in length, they are just as sophisticated and powerful as longer programs in other languages. This brevity makes it easy for students to become proficient in R. This calculus-based introduction organizes the material around key themes. One of the most important themes centers on viewing probability as a way to look at the world, helping students think and reason probabilistically. The text also shows how to combine and link stochastic processes to form more complex processes that are better models of natural phenomena. In addition, it presents a unified treatment of transforms, such as Laplace, Fourier, and z; the foundations of fundamental stochastic processes using entropy and information; and an introduction to Markov chains from various viewpoints. Each chapter includes a short biographical note about a contributor to probability theory, exercises, and selected answers. The book has an accompanying website with more information.
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Modeling Psychophysical Data in R

Modeling Psychophysical Data in R

Kenneth Knoblauch; Laurence T. Maloney

Springer-Verlag New York Inc.
2012
nidottu
Many of the commonly used methods for modeling and fitting psychophysical data are special cases of statistical procedures of great power and generality, notably the Generalized Linear Model (GLM). This book illustrates how to fit data from a variety of psychophysical paradigms using modern statistical methods and the statistical language R. The paradigms include signal detection theory, psychometric function fitting, classification images and more. In two chapters, recently developed methods for scaling appearance, maximum likelihood difference scaling and maximum likelihood conjoint measurement are examined. The authors also consider the application of mixed-effects models to psychophysical data.R is an open-source programming language that is widely used by statisticians and is seeing enormous growth in its application to data in all fields. It is interactive, containing many powerful facilities for optimization, model evaluation, model selection, and graphical display of data. The reader who fits data in R can readily make use of these methods. The researcher who uses R to fit and model his data has access to most recently developed statistical methods.This book does not assume that the reader is familiar with R, and a little experience with any programming language is all that is needed to appreciate this book. There are large numbers of examples of R in the text and the source code for all examples is available in an R package MPDiR available through R. Kenneth Knoblauch is a researcher in the Department of Integrative Neurosciences in Inserm Unit 846, The Stem Cell and Brain Research Institute and associated with the University Claude Bernard, Lyon 1, in France. Laurence T. Maloney is Professor of Psychology and Neural Science at New York University. His research focusses on applications of mathematical models to perception, motor control and decision making.
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Permutation Statistical Methods with R

Permutation Statistical Methods with R

Kenneth J. Berry; Kenneth L. Kvamme; Janis E. Johnston; Jr. Mielke

Springer Nature Switzerland AG
2021
sidottu
This book takes a unique approach to explaining permutation statistics by integrating permutation statistical methods with a wide range of classical statistical methods and associated R programs. It opens by comparing and contrasting two models of statistical inference: the classical population model espoused by J. Neyman and E.S. Pearson and the permutation model first introduced by R.A. Fisher and E.J.G. Pitman. Numerous comparisons of permutation and classical statistical methods are presented, supplemented with a variety of R scripts for ease of computation. The text follows the general outline of an introductory textbook in statistics with chapters on central tendency and variability, one-sample tests, two-sample tests, matched-pairs tests, completely-randomized analysis of variance, randomized-blocks analysis of variance, simple linear regression and correlation, and the analysis of goodness of fit and contingency. Unlike classical statistical methods, permutation statistical methods do not rely on theoretical distributions, avoid the usual assumptions of normality and homogeneity, depend only on the observed data, and do not require random sampling. The methods are relatively new in that it took modern computing power to make them available to those working in mainstream research. Designed for an audience with a limited statistical background, the book can easily serve as a textbook for undergraduate or graduate courses in statistics, psychology, economics, political science or biology. No statistical training beyond a first course in statistics is required, but some knowledge of, or some interest in, the R programming language is assumed.
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Permutation Statistical Methods with R

Permutation Statistical Methods with R

Kenneth J. Berry; Kenneth L. Kvamme; Janis E. Johnston; Jr. Mielke

Springer Nature Switzerland AG
2022
nidottu
This book takes a unique approach to explaining permutation statistics by integrating permutation statistical methods with a wide range of classical statistical methods and associated R programs. It opens by comparing and contrasting two models of statistical inference: the classical population model espoused by J. Neyman and E.S. Pearson and the permutation model first introduced by R.A. Fisher and E.J.G. Pitman. Numerous comparisons of permutation and classical statistical methods are presented, supplemented with a variety of R scripts for ease of computation. The text follows the general outline of an introductory textbook in statistics with chapters on central tendency and variability, one-sample tests, two-sample tests, matched-pairs tests, completely-randomized analysis of variance, randomized-blocks analysis of variance, simple linear regression and correlation, and the analysis of goodness of fit and contingency. Unlike classical statistical methods, permutation statistical methods do not rely on theoretical distributions, avoid the usual assumptions of normality and homogeneity, depend only on the observed data, and do not require random sampling. The methods are relatively new in that it took modern computing power to make them available to those working in mainstream research. Designed for an audience with a limited statistical background, the book can easily serve as a textbook for undergraduate or graduate courses in statistics, psychology, economics, political science or biology. No statistical training beyond a first course in statistics is required, but some knowledge of, or some interest in, the R programming language is assumed.
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Name-Dropping: From F.D.R. on

Name-Dropping: From F.D.R. on

John Kenneth Galbraith

Mariner Books Classics
2001
nidottu
"Names? You want names? No one knows better ones than John Kenneth Galbraith" (San Diego Union-Tribune). With the dazzling insight, humor, and literary skill that mark Galbraith as one of the most distinguished writers of our time, Name-Dropping charts the political landscape of the past sixty-five years. Drawing on a lifetime of access to many great public figures, the famous economist offers a clear-eyed, unsparing, and amusing "look at prominent people . . . he] has known, from FDR on" (Larry King, USA Today) and offers a rich and uniquely personal history of the century -- a history he helped to shape.
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The Book of H.U.M.O.R.: How Understanding Makes Our Relationships

The Book of H.U.M.O.R.: How Understanding Makes Our Relationships

Kenneth Edward Barnes

Independently Published
2017
nidottu
This is a collection of four of my small humorous books. All of them are about relationships in one form or another. The first book is called Instruction Manual for the WIFE (Wonderful Idea From Eden). It is about the unique creation known as WOMAN (Wondrous One Man Always Needs). The second book is titled How to Care for Your MAN (Mate's Animalistic Needs). Women need to know how to attract, capture, properly train and interact with their new or old man. The third book is How to Care for Your CHILD (Cute Huggable Innocent Little Darling). I felt you cannot have a book about a man and woman without a child soon coming along. It gives advice on how to obtain, raise and release a child. The fourth book is a humorous look at how we would live if we only had instincts to guide us. How would we be raised? How would we find food, protect ourselves or even find a mate? Then, what would we do once we found one? I titled it INSTINCTS (Interesting Natural Secret Tendencies If Nature Could Teach Secrets).
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Southern Oregon Timber: The Kenneth Ford Family Legacy

Southern Oregon Timber: The Kenneth Ford Family Legacy

R. J. Guyer

History Press
2015
nidottu
Forestry defined the culture of southern Oregon. Kenneth and Hallie Ford rose from humble beginnings with a single sawmill during the Great Depression and helped transform the state's timber industry. They founded one of the largest privately owned wood-products companies in the country, bringing the title Timber Capital of the Nation to Roseburg, Oregon. Their legacy remains today through the Ford Family Foundation, dedicated to educational grants and community improvements. Author R.J. Guyer explores the evolution of logging and the challenges faced by the hearty men and women who plied this trade.
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