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Books in Social sciences and humanities

  • Teaching Information Literacy for Inquiry-Based Learning

    • 1st Edition
    • Mark Hepworth + 1 more
    • English
    Teaching Information Literacy for Inquiry-Based Learning is highly beneficial to those who teach or train people and need to develop systematic ways of using information sources and tools to help them participate in inquiry based learning. Whether at school, college, university or work people need to use the wealth of information around them effectively. They need to find things out, assemble, process, evaluate, manage as well as communicate information. Increasingly a fundamental part of being information literate and an independent learner is being e-literate. This book helps the trainer understand the learner and use appropriate methods to help them explore and engage with being information and e-literate. It also helps the learner to be conscious of what it means to be information and e-literate and to use information effectively.

  • CIMA May 2009 Q&A Financial Accounting and Tax Principles

    • 1st Edition
    • Tom Rolfe
    • English

  • Handbook of Financial Econometrics Set

    • 1st Edition
    • Yacine Ait-Sahalia + 1 more
    • English
    Vol 1 covers fundamental econometric techniques and tools on recent advances in financial econometrics. Parametric and nonparametric, in continuous time and discrete time, these techniques and tools include Markov processes, a system for categorizing volatility concepts, a simulated method of moments indicator, and models for the timing of events. Together they reveal the ways that local characterizations can lead to long-run implications and how relationships between observed and unobserved values can be inferred. Vol 2 covers important research even as they make unique empirical contributions to the literature. These subjects are familiar: portfolio choice, trading volume, the risk-return tradeoff, option pricing, bond yields, and the management, supervision, and measurement of extreme and infrequent risks. Yet their treatments are exceptional, drawing on current data and evidence to reflect recent events and scholarship.

  • CIMA May 2009 Q&A Financial Analysis

    • 1st Edition
    • Catherine Gowthorpe
    • English

  • CIMA May 2009 Q&A Test of Professional Competence in Management Accounting

    • 1st Edition
    • Heather Barnwell
    • English

  • The Theory of Gambling and Statistical Logic

    • 2nd Edition
    • Richard A. Epstein
    • English
    Early in his rise to enlightenment, man invented a concept that has since been variously viewed as a vice, a crime, a business, a pleasure, a type of magic, a disease, a folly, a weakness, a form of sexual substitution, an expression of the human instinct. He invented gambling. Recent advances in the field, particularly Parrondo's paradox, have triggered a surge of interest in the statistical and mathematical theory behind gambling. This interest was acknowledge in the motion picture, "21," inspired by the true story of the MIT students who mastered the art of card counting to reap millions from the Vegas casinos. Richard Epstein's classic book on gambling and its mathematical analysis covers the full range of games from penny matching to blackjack, from Tic-Tac-Toe to the stock market (including Edward Thorp's warrant-hedging analysis). He even considers whether statistical inference can shed light on the study of paranormal phenomena. Epstein is witty and insightful, a pleasure to dip into and read and rewarding to study. The book is written at a fairly sophisticated mathematical level; this is not "Gambling for Dummies" or "How To Beat The Odds Without Really Trying." A background in upper-level undergraduate mathematics is helpful for understanding this work.

  • The Psychology of Learning and Motivation

    Advances in Research and Theory
    • 1st Edition
    • Volume 51
    • English
    The Psychology of Learning and Motivation series publishes empirical and theoretical contributions in cognitive and experimental psychology, ranging from classical and instrumental conditioning to complex learning and problem solving. Each chapter thoughtfully integrates the writings of leading contributors, who present and discuss significant bodies of research relevant to their discipline. Volume 51 includes chapters on such varied topics as emotion and memory interference, electrophysiology, mathematical cognition, and reader participation in narrative.

  • Optimizing Optimization

    The Next Generation of Optimization Applications and Theory
    • 1st Edition
    • Stephen Satchell
    • English
    The practical aspects of optimization rarely receive global, balanced examinations. Stephen Satchell’s nuanced assembly of technical presentations about optimization packages (by their developers) and about current optimization practice and theory (by academic researchers) makes available highly practical solutions to our post-liquidity bubble environment. The commercial chapters emphasize algorithmic elements without becoming sales pitches, and the academic chapters create context and explore development opportunities. Together they offer an incisive perspective that stretches toward new products, new techniques, and new answers in quantitative finance.

  • Technology Entrepreneurship

    Creating, Capturing, and Protecting Value
    • 1st Edition
    • Thomas N. Duening + 2 more
    • English
    Recognizing the unique needs of the technology startup, Duening focuses on intellectual property development, funding, and marketing/selling more than other texts in this market. Extensive use of technology examples, case studies, and assignments keeps the book relevant and motivating for engineering students.

  • Handbook of Financial Econometrics

    Tools and Techniques
    • 1st Edition
    • Volume 1
    • Yacine Ait-Sahalia + 1 more
    • English
    This collection of original articles—8 years in the making—shines a bright light on recent advances in financial econometrics. From a survey of mathematical and statistical tools for understanding nonlinear Markov processes to an exploration of the time-series evolution of the risk-return tradeoff for stock market investment, noted scholars Yacine Aït-Sahalia and Lars Peter Hansen benchmark the current state of knowledge while contributors build a framework for its growth. Whether in the presence of statistical uncertainty or the proven advantages and limitations of value at risk models, readers will discover that they can set few constraints on the value of this long-awaited volume.

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