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• Dimensions: 6.10" h x .98" w x 9.45" l,
• Binding: Paperback

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Free Download Mary Magdalene: The IlluminatorBy William Henry

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• Sales Rank: #319946 in Books
• Brand: Brand: Adventures Unlimited Pr
• Published on: 2015-02-25
• Original language: English
• Number of items: 1
• Dimensions: 8.42" h x .65" w x 5.66" l, .81 pounds
• Binding: Paperback
• 292 pages

Features

• Used Book in Good Condition

About the Author
William Henry is an investigative mythologist who finds and interprets ancient gateway stories featuring advanced technology. He lives in Nashville.

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PDF Download La nave de los locosBy Katherine Anne Porter

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• Sales Rank: #13784221 in Books
• Published on: 1996-12-31
• Original language: Spanish
• Binding: Perfect Paperback

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Download PDF Expert Advisor Programming for MetaTrader 4: Creating automated trading systems in the MQL4 languageBy Andrew R. Young

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• Sales Rank: #126855 in Books
• Published on: 2015-02-21
• Original language: English
• Number of items: 1
• Dimensions: 10.00" h x .66" w x 8.00" l, 1.28 pounds
• Binding: Paperback
• 290 pages

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PDF Download Origen: Homilies on Leviticus (Fathers of the Church)By Origen

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• Sales Rank: #7127571 in Books
• Published on: 1990-01
• Original language: Latin
• Number of items: 1
• Dimensions: 1.13" h x 5.52" w x 8.60" l,
• Binding: Hardcover
• 294 pages

Language Notes
Text: English (translation)
Original Language: Latin, Greek

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Download PDF Modern Data Science with R (Chapman & Hall/CRC Texts in Statistical Science)By Benjamin S. Baumer, Daniel T. Kaplan, Nicholas J. Horton

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Modern Data Science with R is a comprehensive data science textbook for undergraduates that incorporates statistical and computational thinking to solve real-world problems with data. Rather than focus exclusively on case studies or programming syntax, this book illustrates how statistical programming in the state-of-the-art R/RStudio computing environment can be leveraged to extract meaningful information from a variety of data in the service of addressing compelling statistical questions.

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• Amazon Sales Rank: #144315 in Books
• Published on: 2017-02-02
• Original language: English
• Number of items: 1
• Dimensions: 10.00" h x 7.25" w x 1.50" l, .0 pounds
• Binding: Paperback
• 582 pages

Review

"Baumer, Kaplan, and Horton have managed to write a book that will serve a huge variety of educators while being endlessly interesting and useful to students of a modern era. "Modern Data Science in R" is a compilation of ideas from both ends of the data science and statistics spectrum―tools for setting up databases and working with regular expressions are intermixed with fundamentals like regression analysis. Additionally, the authors pull together fantastic examples from the scientific community as well as the media at large. Their examples will engage today's students into understanding why data wrangling, reproducibility, and ethics are a fundamental part of any data analysis.

Good visualization skills (Tukey) and ethical analyses (Hoff, "How to Lie with Statistics") are not new ideas. However, they have recently been lost in the drive for more sophisticated mathematical and computational methods for working with data. Baumer et al. modernize the need for good visualization and communication in ways that will resonate with today's practitioners. Like Wickham's "ggplot2" and "The Elements of Statistical Learning" by Hastie et al., "Modern Data Science in R" promises to be a staple on every data analyst's bookshelf. Accessible to students and a valuable resource for those who have been in the field for many years, this book promises to be a treasure you will want to discover." ~ Jo Hardin, Pomona College

"This book would be an excellent text book for an introductory data science course. Many academic institutions are now trying to open data science programs. But, there is not a good text book available for data science courses." ~ Mahbubul Majumder, U. of Nebraska Omaha

About the Author

Benjamin S. Baumer is an assistant professor in the Statistical & Data Sciences program at Smith College. He has been a practicing data scientist since 2004, when he became the first full-time statistical analyst for the New York Mets. Ben is a co-author of The Sabermetric Revolution and won the 2016 Contemporary Baseball Analysis Award from the Society for American Baseball Research.

Daniel T. Kaplan is the DeWitt Wallace professor of mathematics and computer science at Macalester College. He is the author of several textbooks on statistical modeling and statistical computing, and received the 2006 Macalester Excellence in Teaching award.

Nicholas J. Horton is a professor of statistics at Amherst College. He is a Fellow of the American Statistical Association (ASA), member of the NRC Committee on Applied and Theoretical Statistics, recipient of a number of national teaching awards, author of a series of books on statistical computing, and actively involved in curricular reform to help students "think with data."

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Free Download Microeconomics: Neoclassical and Institutional Perspectives on Economic BehaviourBy Susan Himmelweit, Roberto Simonetti, Andrew Trigg

Free Download Microeconomics: Neoclassical and Institutional Perspectives on Economic BehaviourBy Susan Himmelweit, Roberto Simonetti, Andrew Trigg

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Microeconomics: Neoclassical and Institutional Perspectives on Economic BehaviourBy Susan Himmelweit, Roberto Simonetti, Andrew Trigg

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In economics the dominant framework for exploring the structure of market economies is provided by the neoclassical school of thought. This text aims to show how neoclassical theory is used to model market mechanisms, both in particular markets and in the market economy as a whole. Underpinning this analysis is an examination of what neoclassical economists regard as key decision makers in a market economy, namely households and firms. In analysing these demand and supply activities, this text aims to provide an introduction to the microeconomics of markets, that is, the behaviour of individual units of economic activity. However, individuals do not behave as independent entities in the economy. They make economic decisions in the context of a variety of institutional structures. The text presents an alternative to neoclassicism by introducing the institutionalist perspective of economic thought. In this approach the social interactions between individuals are placed at the heart of economic activity. Perspectives are presented as a critique of neoclassical economics by providing an appraisal of neoclassical theory and developing an alternative.

• Sales Rank: #1211700 in Books
• Published on: 2001-07-05
• Original language: English
• Number of items: 1
• Dimensions: 1.02" h x 7.50" w x 9.76" l, 2.49 pounds
• Binding: Paperback
• 580 pages

Review
1. INTRODUCTION:NEOCLASSICAL AND INSTITUTIONALIST PERSPECTIVES. Introduction. Neoclassical economics. Institutional economics. Differences between the schools of thought. Conclusion. CONSUMPTION. 2. CONSUMER SOVEREIGNTY. Introduction. The neoclassical theory of consumption. The structure of the demand curve. Questioning the assumptions of consumer theory. Conclusion. 3. CONSUMER DEPENDENCY. Introduction. Conspicuous consumption. Case studies in marketing and consumption. Implications for neoclassical theory. Problems with conspicuous consumption. The theory of ?Distinction?. Want creation by institutions. Conclusion. 4. MEASURING WELFARE: ARE PEOPLE BETTER OFF? Introduction. Utility in the development of welfare economics. The measurement of household well-being. Equivalence scales. Agency conceptions of human flourishing. Are judgements of well-being objective or socially generated? Conclusion. HOUSEHOLDS 5. THE HOUSEHOLD IN THE ECONOMY. Introduction. Neoclassical approaches to household decision making. The division of labour within the household. The institutional economics of the household. Where next? 6. DECISION MAKING IN HOUSEHOLDS. Introduction. Decision making based on household utility functions. Co-operative and non-co-operative household decision making. The models compared. Gender and power in the household. 7. CARING FOR CHILDREN. Introduction. Case study: declining fertility in the Mediterranean countries of Europe. Explaining care. Changing norms. Understanding change. FIRMS. 8. MODELLING THE FIRM. Introduction. The case of Digital Equipment Corporation. Neoclassical theories of firms? behaviour. New institutionalism and the boundaries of the firm. ?Old? institutionalism and evolutionary theory. Conclusion. 9. CONTRACTS, INFORMATION AND THE FIRM?S BEHAVIOUR. Introduction: contracts and markets. Time and contracts: short-and long-term contracting. Incomplete information and contracting behaviour. Incomplete information: incentives and firms? objectives. Conclusion: contracting and firm?s behaviour. 10. FIRMS AND EFFICIENCY. Introduction: efficiency, competition and strategy. Production techniques and the production function. Choice of technique and scale by the profit-maximizing firm. Static and dynamic efficiency of firms. Conclusion. 11. A STRATEGIC VIEW OF COMPETITION. Introduction: the ?cola wars?. Market structure and barriers to entry. Strategic entry deterrence. Strategy and market behaviour. Collusion. Trust. Conclusion. LABOUR 12. THE FIRM AND THE LABOUR MARKET. Introduction. The neoclassical approach to labour demand. Labour market equilibrium. Labour market adjustment. Influences on equilibrium unemployment. Conclusion. 13. DISCRIMINATION AND SEGMENTATION. Introduction. Labour market disadvantage. Forms of discrimination. Neoclassical models of discrimination. Segmented labour markets. Feedback effects in the labour markets. Conclusion. 14. TRUST AND CONTROL: LABOUR USE WITHIN THE FIRM. Introduction. The distinctive characteristics of labour. Trust and control. New institutionalist theories of the employment contract. Efficiency wages: discipline, supervision and commitment. The theory of hierarchical control systems. New employer strategies towards labour. Conclusion. TECHNOLOGY AND FINANCE 15. TECHNOLOGICAL CHANGE. Introduction. Technological change in the Industrial Revolution. The production function, technological change and economic growth. Technological change and general equilibrium analysis. Linear models of innovation. The steam engine. An evolutionary view of technical change. Conclusion. Appendix: Solow?s growth accounting model. 16. EVOLUTIONARY THEORIES OF TECHNOLOGICAL AND ECONOMIC CHANGE. Introduction. Evolutionary theories of economic change. Path dependency and economic and economic evolution. Methodological issues: theory and evidence. Conclusion: economic experiments and economic growth. 17. FINANCIAL SYSTEMS AND INNOVATION. Introduction. Stock market-based and bank-based financial systems. Financial systems and innovation. Innovation: differences among industries. Conclusion. MARKETS . 18. COMPETITIVE GENERAL ANALYSIS. Introduction. The Walrasian model. The determination of prices. Some more models of general equilibrium. Competitive equilibrium and welfare economics. 19. SOCIAL MARKETS. Introduction. ?Managed markets? and ?quasi-markets in health care. Private provision through public contracting: auction markets in social goods. Making social markets work: social norms in social markets. Conclusion. References. Index.

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Microeconomics: Neoclassical and Institutional Perspectives on Economic BehaviourBy Susan Himmelweit, Roberto Simonetti, Andrew Trigg PDF

Microeconomics: Neoclassical and Institutional Perspectives on Economic BehaviourBy Susan Himmelweit, Roberto Simonetti, Andrew Trigg PDF

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