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- Author:
- Publisher:
- ISBN:
- Category : Commerce
- Languages : en
- Pages : 1312
The Oxford Handbook of Transformations of the State
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- Author: Stephan Leibfried
- Publisher: OUP Oxford
- ISBN: 0191643254
- Category : Political Science
- Languages : en
- Pages : 928
This Handbook offers a comprehensive treatment of transformations of the state, from its origins in different parts of the world and different time periods to its transformations since World War II in the advanced industrial countries, the post-Communist world, and the Global South. Leading experts in their fields, from Europe and North America, discuss conceptualizations and theories of the state and the transformations of the state in its engagement with a changing international environment as well as with changing domestic economic, social, and political challenges. The Handbook covers different types of states in the Global South (from failed to predatory, rentier and developmental), in different kinds of advanced industrial political economies (corporatist, statist, liberal, import substitution industrialization), and in various post-Communist countries (Russia, China, successor states to the USSR, and Eastern Europe). It also addresses crucial challenges in different areas of state intervention, from security to financial regulation, migration, welfare states, democratization and quality of democracy, ethno-nationalism, and human development. The volume makes a compelling case that far from losing its relevance in the face of globalization, the state remains a key actor in all areas of social and economic life, changing its areas of intervention, its modes of operation, and its structures in adaption to new international and domestic challenges.
The Statist
Statistics for People Who (Think They) Hate Statistics
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- Author: Neil J. Salkind
- Publisher: SAGE Publications
- ISBN: 1483374106
- Category : Social Science
- Languages : en
- Pages : 620
Based on Neil J. Salkind’s bestselling text, Statistics for People Who (Think They) Hate Statistics, this adapted Excel 2016 version presents an often intimidating and difficult subject in a way that is clear, informative, and personable. Researchers and students uncomfortable with the analysis portion of their work will appreciate the book′s unhurried pace and thorough, friendly presentation. Opening with an introduction to Excel 2016, including functions and formulas, this edition shows students how to install the Excel Data Analysis Tools option to access a host of useful analytical techniques and then walks them through various statistical procedures, beginning with correlations and graphical representation of data and ending with inferential techniques and analysis of variance. New to the Fourth Edition: A new chapter 20 dealing with large data sets using Excel functions and pivot tables, and illustrating how certain databases and other categories of functions and formulas can help make the data in big data sets easier to work with and the results more understandable. New chapter-ending exercises are included and contain a variety of levels of application. Additional TechTalks have been added to help students master Excel 2016. A new, chapter-ending Real World Stats feature shows readers how statistics is applied in the everyday world. Basic maths instruction and practice exercises for those who need to brush up on their math skills are included in the appendix.
Killing History
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- Author: L. K. Samuels
- Publisher:
- ISBN: 9780961589318
- Category :
- Languages : en
- Pages :
Almost everything about the political spectrum is dead wrong. If the two polar opposites are Communism versus Fascism, what is in the middle? If the middle is halfway between Communism and Fascism, then everyone not on the extreme ends must be half-communist and half-fascist? Nobody believes that, but the old political spectrum prescribes that exact political scenario. So what happened? In an effort to rewrite history, the political dichotomy has been deliberately broken, falsified, sabotaged, and made meaningless, causing the public to lose their way through the contorted political maze. With well-over 1,500 footnotes from historians and political scientists, this book refurbishes the political spectrum and restores it to its original French Revolution roots and common sense approach. Now anyone can navigate the political swamplands with a faithful compass to triangulate one's own political position and peel back layers of distorted history.
Marx's Revenge
Mathematical Statistics with Resampling and R
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- Author: Laura M. Chihara
- Publisher: John Wiley & Sons
- ISBN: 1119416523
- Category : Mathematics
- Languages : en
- Pages : 557
This thoroughly updated second edition combines the latest software applications with the benefits of modern resampling techniques Resampling helps students understand the meaning of sampling distributions, sampling variability, P-values, hypothesis tests, and confidence intervals. The second edition of Mathematical Statistics with Resampling and R combines modern resampling techniques and mathematical statistics. This book has been classroom-tested to ensure an accessible presentation, uses the powerful and flexible computer language R for data analysis and explores the benefits of modern resampling techniques. This book offers an introduction to permutation tests and bootstrap methods that can serve to motivate classical inference methods. The book strikes a balance between theory, computing, and applications, and the new edition explores additional topics including consulting, paired t test, ANOVA and Google Interview Questions. Throughout the book, new and updated case studies are included representing a diverse range of subjects such as flight delays, birth weights of babies, and telephone company repair times. These illustrate the relevance of the real-world applications of the material. This new edition: • Puts the focus on statistical consulting that emphasizes giving a client an understanding of data and goes beyond typical expectations • Presents new material on topics such as the paired t test, Fisher's Exact Test and the EM algorithm • Offers a new section on "Google Interview Questions" that illustrates statistical thinking • Provides a new chapter on ANOVA • Contains more exercises and updated case studies, data sets, and R code Written for undergraduate students in a mathematical statistics course as well as practitioners and researchers, the second edition of Mathematical Statistics with Resampling and R presents a revised and updated guide for applying the most current resampling techniques to mathematical statistics.
An Introduction to Statistical Learning
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- Author: Gareth James
- Publisher: Springer Nature
- ISBN: 3031387473
- Category : Mathematics
- Languages : en
- Pages : 617
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.
Democracy and Economic Planning
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- Author: P. J. Devine
- Publisher:
- ISBN: 9780429033117
- Category : Capitalism
- Languages : en
- Pages : 306
Devine begins with an analysis of the theory and practice of capitalist planning, central planning and 'market socialism'. He argues that, while market socialism is currently favoured by many economists who reject both capitalism and the command planning of the Soviet model, it cannot fulfil the promises held out for it. In the remainder of the bo
Hong Kong 20 Years after the Handover
PDF Hong Kong 20 Years after the Handover Download
- Author: Brian C.H. Fong
- Publisher: Springer
- ISBN: 3319513737
- Category : Political Science
- Languages : en
- Pages : 358
This book examines the socio-political conflicts which have arisen since Hong Kong’s return to China and confronts the fundamental problems in the design of the One Country, Two Systems (OCTS) Model. It considers not only the issue of democratization, but also the institutional fractures in the executive-dominant political system and the disconnection between the executive and the legislature. It describes the drastic changes which have affected social mobilization and political activism in Hong Kong, as well as the pattern of interaction between the government and civil society. This edited volume brings together a team of cutting-edge researchers to examine the operation of the One Country, Two Systems (OCTS) Model in Hong Kong over the past 20 years. The discussion and analysis offered by the contributors will cast light on social and political tensions and conflicts that will continue to unfold in the coming years. This timely account, published on the 20th anniversary of the handover, will be a valuable read for students and scholars of Chinese and East Asian studies.
