Minggu, 25 Maret 2018

Free Ebook Regression Analysis for the Social SciencesBy Rachel A. Gordon

Free Ebook Regression Analysis for the Social SciencesBy Rachel A. Gordon

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Regression Analysis for the Social SciencesBy Rachel A. Gordon

Regression Analysis for the Social SciencesBy Rachel A. Gordon


Regression Analysis for the Social SciencesBy Rachel A. Gordon


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Regression Analysis for the Social SciencesBy Rachel A. Gordon

Provides graduate students in the social sciences with the basic skills they need to estimate, interpret, present, and publish basic regression models using contemporary standards.

Key features of the book include:

•interweaving the teaching of statistical concepts with examples developed for the course from publicly-available social science data or drawn from the literature.

•thorough integration of teaching statistical theory with teaching data processing and analysis.

•teaching of Stata and use of chapter exercises in which students practice programming and interpretation on the same data set. A separate set of exercises allows students to select a data set to apply the concepts learned in each chapter to a research question of interest to them, all updated for this edition.

  • Sales Rank: #1047656 in Books
  • Published on: 2015-03-19
  • Original language: English
  • Number of items: 1
  • Dimensions: 9.20" h x 1.10" w x 7.40" l, .0 pounds
  • Binding: Paperback
  • 566 pages

Review

Regression Analysis for the Social Sciences is a well-designed textbook for upper-level undergraduate and graduate-level courses in social statistics. The textbook achieves a seamless balance between theory and practice. It provides a gentle yet thorough review of statistical theory of regression models, all the while focusing on practical application of regression models. The textbook provides an indispensable guide for learning the complexities and mechanics of regression models and analysis in the social sciences.

-Steven Prus, Sociology and Anthropology, Carleton University

Teaching graduate statistics in the social sciences is challenging because our students arrive with such diverse levels of mathematics preparation. Rachel Gordon does an exceptional job of explaining complex statistical concepts using straightforward language and intuitive, relevant, examples. This book allows students with a range of quantitative backgrounds and comfort levels to understand and apply the material, and builds their confidence in using statistics.

-Amy Kate Bailey, Sociology, University of Illinois at Chicago

Gordon’s textbook provides an insightful and contemporary approach to methodological instruction in the social sciences. It engages current strategies for modelling social behavior using regression, while at the same time providing plenty of applied orientation to allow the student to acquire pragmatic knowledge of how best to tackle contemporary research problems. The book is distinguished for its ample use of excerpts from recent social science literature and its attention to a key range of pragmatic issues faced by investigators. The thorough integration of a major statistical package (Stata), including examples of code, links to datasets, and illustrative results, is another feature that will be widely appreciated. For instructors and students often frustrated by other texts – too simplistic or too formal, or emphasizing examples far from current social science – Gordon’s Regression Analysis for the Social Sciences will likely fit the bill.

- Michael J White, Sociology, Brown University

About the Author

Rachel A. Gordon is Professor in the Department of Sociology and Associate Director of the Institute of Government and Public Affairs at the University of Illinois at Chicago. Professor Gordon has multidisciplinary substantive and statistical training and a passion for understanding and teaching applied statistics.

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Kamis, 22 Februari 2018

Ebook Free Ancient Central China: Centers and Peripheries along the Yangzi River (Case Studies in Early Societies)By Rowan K. Flad, Pochan Chen

Ebook Free Ancient Central China: Centers and Peripheries along the Yangzi River (Case Studies in Early Societies)By Rowan K. Flad, Pochan Chen

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Ancient Central China: Centers and Peripheries along the Yangzi River (Case Studies in Early Societies)By Rowan K. Flad, Pochan Chen

Ancient Central China: Centers and Peripheries along the Yangzi River (Case Studies in Early Societies)By Rowan K. Flad, Pochan Chen


Ancient Central China: Centers and Peripheries along the Yangzi River (Case Studies in Early Societies)By Rowan K. Flad, Pochan Chen


Ebook Free Ancient Central China: Centers and Peripheries along the Yangzi River (Case Studies in Early Societies)By Rowan K. Flad, Pochan Chen

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Ancient Central China: Centers and Peripheries along the Yangzi River (Case Studies in Early Societies)By Rowan K. Flad, Pochan Chen

Ancient Central China provides an up-to-date synthesis of archaeological discoveries in the upper and middle Yangzi River region of China, including the Three Gorges Dam reservoir zone. It focuses on the Late Neolithic (late third millennium BC) through the end of the Bronze Age (late first millennium BC) and considers regional and interregional cultural relationships in light of anthropological models of landscape. Rowan K. Flad and Pochan Chen show that centers and peripheries of political, economic, and ritual activities were not coincident, and that politically peripheral regions such as the Three Gorges were crucial hubs in interregional economic networks, particularly related to prehistoric salt production. The book provides detailed discussions of recent archaeological discoveries and data from the Chengdu Plain, Three Gorges, and Hubei to illustrate how these various components of regional landscape were configured across Central China.

  • Amazon Sales Rank: #2078132 in Books
  • Published on: 2013-01-21
  • Released on: 2013-03-14
  • Original language: English
  • Number of items: 1
  • Dimensions: 8.98" h x .94" w x 5.98" l, .0 pounds
  • Binding: Paperback
  • 428 pages

Review "Provocatively using the term 'Central China' for eastern Sichuan, Chongqing, Hubei, and Hunan, the authors bring to the fore the crucial role of the Three Gorges, a periphery that has been overlooked in most historical and archaeological studies. Their multifaceted approach completely reshapes our understanding of early southwest Chinese cultures." Alain Thote, Directeur d'études, Ecole Pratique des Hautes Etudes, Paris"This splendid book offers new theoretical insights and substantive evidence that transforms our understanding of the emergence of China's antiquity in the heartlands of its earliest cultural complexity. With expertise and style, the authors implicate environmental conditions, political developments, economic processes, and the role of religious rituals in the cultural landscape in the emergence of China's ancient civilization." C. C. Lamberg-Karlovsky, Harvard University"Ancient Central China provides the first ever comprehensive survey of the region in question by integrating multiple, overlapping topographies of natural environment, research history, political narrative, archaeological culture, economic activity, and ritual performance. It presents a cogent case of dynamic relationship between center and periphery. A must-read for anyone interested in ancient China, and a very valuable contribution to world archaeology." Jay Xu, Asian Art Museum of San Francisco"In Ancient Central China, Flad and Chen create a data-rich and theoretically significant volume that presents a compelling contemporary synthesis for this fascinating region. A case study replete with plentiful and well-elucidated local knowledge, couched within a broad comparative perspective, the volume offers significant new insight into the development of political complexity, social and ritual identity, and the nature of interregional entanglements." Tina Thurston, University at Buffalo, State University of New York"Ancient Central China is replete with up-to-date information (especially on Sichuan and the Three Gorges) and the authors' work at Zhongba and on the Chengdu Plain is a shining example of what is possible in Chinese archaeology. The history of scholarship in the region is especially rich and the authors' synthesis of palaeo-climate and geography is the best I know of in Chinese archaeology ... Ancient Central China contains simultaneously some of the most stimulating theoretical proposals in Chinese archaeology and a much needed synthesis of an understudied region presented in provocative fashion.' Antiquity

About the Author Rowan K. Flad is Professor of Anthropology at Harvard University. He has received grants from the Wenner Gren Foundation for Anthropological Research, the Luce Foundation, the Chiang Ching-Kuo Foundation and the American Philosophical Foundation, among others. He has been a traveling lecturer for the Archaeological Institute of America and has published extensively on archaeology in China in many edited volumes and journals, including Proceedings of the National Academy of Sciences, Current Anthropology, The Holocene, Antiquity, the Journal of Anthropological Archaeology, the Journal of Field Archaeology, Asian Perspectives, the Journal of East Asian Archaeology, the Bulletin of the Museum of Far Eastern Antiquities, Kaogu and Nanfang Minzu Kaogu. He co-edited a book on specialization in the series Archaeological Papers of the American Anthropological Association, and is the author of Salt Production and Social Hierarchy in Ancient China: An Archaeological Investigation of Specialization in China's Three Gorges, published by Cambridge University Press in 2011.Pochan Chen is Assistant Professor in the Department of Anthropology at National Taiwan University. His major research focus is the Neolithic to Han Dynasty of China and Neolithic Taiwan. He has published several papers in journals such as Asian Perspectives, Bianjiang Minzu Kaogu Yu Minzu Kaoguxue Jikan, Diaro de Campo, Kaogu, Nanfang Minzu Kaogu, Nanfang Wenwu, Proceedings of the National Academy of Sciences, Xinshixue and Yanyeshi Yanjiu, and in book sections of Salt Archaeology of China, Volume 1, and Sel, Eau et Forêt: D'hier ... Aujourd'hui.

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Ancient Central China: Centers and Peripheries along the Yangzi River (Case Studies in Early Societies)By Rowan K. Flad, Pochan Chen PDF
Ancient Central China: Centers and Peripheries along the Yangzi River (Case Studies in Early Societies)By Rowan K. Flad, Pochan Chen PDF

Sabtu, 30 Desember 2017

Free PDF Period Style for the TheatreBy Douglas A. Russell

Free PDF Period Style for the TheatreBy Douglas A. Russell

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Period Style for the TheatreBy Douglas A. Russell

Period Style for the TheatreBy Douglas A. Russell


Period Style for the TheatreBy Douglas A. Russell


Free PDF Period Style for the TheatreBy Douglas A. Russell

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Period Style for the TheatreBy Douglas A. Russell

Russell shows and discusses the relationship of period style, artistic choices and historical mind sets of all the art forms from architecture to music, from styles of clothing to history and discusses how they connect. He gives you a sweeping yet specific understanding of every age, then brings that understanding into the theater of the day.

  • Sales Rank: #1712826 in Books
  • Published on: 1987-05
  • Original language: English
  • Number of items: 1
  • Dimensions: 9.50" h x 7.75" w x .75" l,
  • Binding: Hardcover
  • 375 pages

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Jumat, 15 Desember 2017

PDF Download 30 Days to a Better YouTube Channel: A practical guide to creating a highly subscribable channelBy Tim Schmoyer

PDF Download 30 Days to a Better YouTube Channel: A practical guide to creating a highly subscribable channelBy Tim Schmoyer

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30 Days to a Better YouTube Channel: A practical guide to creating a highly subscribable channelBy Tim Schmoyer

30 Days to a Better YouTube Channel: A practical guide to creating a highly subscribable channelBy Tim Schmoyer


30 Days to a Better YouTube Channel: A practical guide to creating a highly subscribable channelBy Tim Schmoyer


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30 Days to a Better YouTube Channel: A practical guide to creating a highly subscribable channelBy Tim Schmoyer

Give me 30 Days and I'll give you a dramatically better YouTube channel, guaranteed!

Do you have big dreams for your channel? Do you have a list of improvements you'll make "later?" Are the number of people subscribing to your channel too low?

You're not alone.

This digital workbook is designed to help you revitalize your channel and transform it into a community you've always dreamed of, one step at a time.

WRITTEN TO MAKE YOU THINK AND DO
Each day in the workbook includes:
-- A Task: Something you can do right now on your YouTube channel.
-- A Teaching: In-depth instruction on both the why and the how of the task.
-- Further Reading: Links to other videos and web articles that help you dive deeper into the task.

Each day is designed to take you one step closer to creating a channel that entices new viewers to subscribe, interact, and become a loyal part of your channel's community.

WANT MORE FROM YOUR CHANNEL?
This book is for YouTube creators at different stages of their YouTube efforts:
-- You've just started a channel and don't know what to do next.
-- You've had a channel for a while, but it stalled in its growth.
-- You're experiencing a creative block and lacking inspiration.
-- You're growing, but want to take that growth to the next level.

Note: This workbook is not designed for YouTube creators who have not yet started a YouTube channel. It doesn't cover the very basics of creating a channel and such.

MANY SMALL STEPS TO BIG RESULTS
By the end of the this book you will have:
-- one of the best-optimized channels on YouTube.
-- created a strategy for increasing your channel's exposure.
-- deepened relationships with viewers who surround your channel.
-- and much, much more.

BOOK HIGHLIGHTS
-- This is a very practical, step-by-step guide to crafting your channel to be as sticky as possible for new viewers.
-- It teaches you to implement strategies that keep viewers coming back for more and regularly interacting with you and each other.
-- Ultimately, the training leads to momentum that becomes a growing and dedicated YouTube community that's making a difference in the world.
-- Many of my clients have implemented these strategies and tactics and experienced even more growth than I have! You can, too!

ABOUT THE AUTHOR
On March 2, 2006, Tim Schmoyer created his first YouTube channel and started making videos with the girl who later became his wife. Since then together they’ve created and published almost 2,000 YouTube videos, amassed millions of views, thousands of subscribers, and won YouTube video contests. Tim has worked with some of the country's top brands on YouTube and, in 2013, became officially certified by YouTube in "Audience Growth.” They now live in Cincinnati, OH, with their four children.

  • Sales Rank: #511602 in eBooks
  • Published on: 2014-03-02
  • Released on: 2014-03-02
  • Format: Kindle eBook

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30 Days to a Better YouTube Channel: A practical guide to creating a highly subscribable channelBy Tim Schmoyer PDF
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Selasa, 05 Desember 2017

Download Ebook Easy Classical Studies for SaxophoneBy John Harle

Download Ebook Easy Classical Studies for SaxophoneBy John Harle

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Easy Classical Studies for SaxophoneBy John Harle

  • Sales Rank: #3700973 in Books
  • Published on: 1983
  • Binding: Sheet music

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Jumat, 01 Desember 2017

Download PDF A First Course in Machine Learning, Second EditionBy Simon Rogers, Mark Girolami

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A First Course in Machine Learning, Second EditionBy Simon Rogers, Mark Girolami

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"A First Course in Machine Learning by Simon Rogers and Mark Girolami is the best introductory book for ML currently available. It combines rigor and precision with accessibility, starts from a detailed explanation of the basic foundations of Bayesian analysis in the simplest of settings, and goes all the way to the frontiers of the subject such as infinite mixture models, GPs, and MCMC."
―Devdatt Dubhashi, Professor, Department of Computer Science and Engineering, Chalmers University, Sweden

"This textbook manages to be easier to read than other comparable books in the subject while retaining all the rigorous treatment needed. The new chapters put it at the forefront of the field by covering topics that have become mainstream in machine learning over the last decade."
―Daniel Barbara, George Mason University, Fairfax, Virginia, USA

"The new edition of A First Course in Machine Learning by Rogers and Girolami is an excellent introduction to the use of statistical methods in machine learning. The book introduces concepts such as mathematical modeling, inference, and prediction, providing ‘just in time’ the essential background on linear algebra, calculus, and probability theory that the reader needs to understand these concepts."
―Daniel Ortiz-Arroyo, Associate Professor, Aalborg University Esbjerg, Denmark

"I was impressed by how closely the material aligns with the needs of an introductory course on machine learning, which is its greatest strength…Overall, this is a pragmatic and helpful book, which is well-aligned to the needs of an introductory course and one that I will be looking at for my own students in coming months."
―David Clifton, University of Oxford, UK

"The first edition of this book was already an excellent introductory text on machine learning for an advanced undergraduate or taught masters level course, or indeed for anybody who wants to learn about an interesting and important field of computer science. The additional chapters of advanced material on Gaussian process, MCMC and mixture modeling provide an ideal basis for practical projects, without disturbing the very clear and readable exposition of the basics contained in the first part of the book."
―Gavin Cawley, Senior Lecturer, School of Computing Sciences, University of East Anglia, UK

"This book could be used for junior/senior undergraduate students or first-year graduate students, as well as individuals who want to explore the field of machine learning…The book introduces not only the concepts but the underlying ideas on algorithm implementation from a critical thinking perspective."
―Guangzhi Qu, Oakland University, Rochester, Michigan, USA

  • Sales Rank: #856962 in Books
  • Published on: 2016-08-15
  • Original language: English
  • Number of items: 1
  • Dimensions: 9.25" h x 1.10" w x 6.14" l, .0 pounds
  • Binding: Paperback
  • 427 pages

Review

"This book could be used for junior/senior undergraduate students or first-year graduate students, as well as individuals who want to explore the field of machine learning. The prerequisites on math or statistics are minimal and following the content is a fairly easy process. The book introduces not only the concepts but the underlying ideas on algorithm implementation from a critical thinking perspective."
―Guangzhi Qu, Oakland University, Rochester, Michigan, USA

"The new edition of A First Course in Machine Learning by Rogers and Girolami is an excellent introduction to the use of statistical methods in machine learning. The book introduces concepts such as mathematical modeling, inference, and prediction, providing ‘just in time’ the essential background on linear algebra, calculus, and probability theory that the reader needs to understand these concepts. One of the strengths of the book is its practical approach. An extensive collection of code written in MATLAB/Octave, R, and Python is available from an associated web page that allows the reader to change models and parameter values to make [it] easier to understand and apply these models in real applications. The authors [also] introduce more advanced, state-of-the-art machine learning methods, such as Gaussian process models and advanced mixture models, which are used across machine learning. This makes the book interesting not only to students with little or no background in machine learning but also to more advanced graduate students interested in statistical approaches to machine learning."
―Daniel Ortiz-Arroyo, Associate Professor, Aalborg University Esbjerg, Denmark

"A First Course in Machine Learning by Simon Rogers and Mark Girolami is the best introductory book for ML currently available. It combines rigor and precision with accessibility, starts from a detailed explanation of the basic foundations of Bayesian analysis in the simplest of settings, and goes all the way to the frontiers of the subject such as infinite mixture models, GPs, and MCMC."
―Devdatt Dubhashi, Professor, Department of Computer Science and Engineering, Chalmers University, Sweden

"This textbook manages to be easier to read than other comparable books in the subject while retaining all the rigorous treatment needed. The new chapters put it at the forefront of the field by covering topics that have become mainstream in machine learning over the last decade."
―Daniel Barbara, George Mason University, Fairfax, Virginia, USA

"I was impressed by how closely the material aligns with the needs of an introductory course on machine learning, which is its greatest strength. While there are other books available that aim for completeness, with exhaustively comprehensive introductions to every branch of machine learning, the book by Rogers and Girolami starts with the basics, builds a solid and logical foundation of methodology, before introducing some more advanced topics. The essentials of the model construction, validation, and evaluation process are communicated clearly and in such a manner as to be accessible to the student taking such a course. I was also pleased to see that the authors have not shied away from producing algebraic derivations throughout, which are for many students an essential part of the learning process―many other texts omit such details, leaving them as ‘an exercise for the reader.’ Being shown the explicit steps required for such derivations is an important part of developing a sense of confidence in the student. Overall, this is a pragmatic and helpful book, which is well-aligned to the needs of an introductory course and one that I will be looking at for my own students in coming months."
―David Clifton, University of Oxford, UK

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Minggu, 26 November 2017

Ebook By Miranda Twiss - The Most Evil Men and Women in History (1905-07-09) [Paperback]By Miranda Twiss

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By Miranda Twiss - The Most Evil Men and Women in History (1905-07-09) [Paperback]By Miranda Twiss

  • Published on: 1905-07-09
  • Binding: Paperback

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