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Introduction to the theory of econometrics
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ISBN: 9789086597666 Year: 2017 Publisher: Amsterdam : VU University Press,

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This little book contains a first course in econometric theory. It is based on lectures to second-year undergraduates who have learned some calculus, matrix algebra, and statistics (but no econometrics) in their first year. Two things are essential in such a course. First, a thorough knowledge of the standard linear regression model. And second, a thorough understanding of the principles of maximum likelihood. The book is also suitable as an introduction to econometrics for Masters and PhD students. Jan R. Magnus (1948) studied econometrics and philosophy at the University of Amsterdam. He worked at the universities of Amsterdam, Leiden, and British Columbia, before moving to the London School of Economics in 1981. In 1996 he was appointed Research Professor in Econometrics at Tilburg University. In 2013, he moved to the VU University Amsterdam as Extraordinary Professor in Econometrics. Magnus is (co)author of eight books, and more than one hundred scientific papers.


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Multivariate Modelling of Non-Stationary Economic Time Series
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ISBN: 9781137313034 Year: 2017 Publisher: London Palgrave Macmillan UK :Imprint: Palgrave Macmillan

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This book examines conventional time series in the context of stationary data prior to a discussion of cointegration, with a focus on multivariate models. The authors provide a detailed and extensive study of impulse responses and forecasting in the stationary and non-stationary context, considering small sample correction, volatility and the impact of different orders of integration. Models with expectations are considered along with alternate methods such as Singular Spectrum Analysis (SSA), the Kalman Filter and Structural Time Series, all in relation to cointegration. Using single equations methods to develop topics, and as examples of the notion of cointegration, Burke, Hunter, and Canepa provide direction and guidance to the now vast literature facing students and graduate economists.


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Statistical Modeling for Degradation Data
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ISBN: 9789811051944 Year: 2017 Publisher: Singapore Springer Singapore, Imprint: Springer

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This book focuses on the statistical aspects of the analysis of degradation data. In recent years, degradation data analysis has come to play an increasingly important role in different disciplines such as reliability, public health sciences, and finance. For example, information on products’ reliability can be obtained by analyzing degradation data. In addition, statistical modeling and inference techniques have been developed on the basis of different degradation measures. The book brings together experts engaged in statistical modeling and inference, presenting and discussing important recent advances in degradation data analysis and related applications. The topics covered are timely and have considerable potential to impact both statistics and reliability engineering.


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Excel 2016 for Advertising Statistics : A Guide to Solving Practical Problems
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ISBN: 9783319721040 Year: 2017 Publisher: Cham Springer International Publishing

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This text is a step-by-step guide for students taking a first course in statistics for advertising and for advertising managers and practitioners who want to learn how to use Excel to solve practical statistics problems in in the workplace, whether or not they have taken a course in statistics. Excel 2016 for Advertising Statistics explains statistical formulas and offers practical examples for how students can solve real-world advertising statistics problems. This book leaves detailed explanations of statistical theory to other statistics textbooks and focuses entirely on practical, real-world problem solving. Each chapter briefly explains a topic and then demonstrates how to use Excel commands and formulas to solve specific advertising statistics problems.  This book gives practice in using Excel in two different ways:  (1) writing formulas (e.g., confidence interval about the mean, one-group t-test, two-group t-test, correlation) and (2) using Excel’s drop-down formula menus (e.g., simple linear regression, multiple correlation and multiple regression, and one-way ANOVA).  Three practice problems are provided at the end of each chapter, along with their solutions in an Appendix.  An additional Practice Test allows readers to test their understanding of each chapter by attempting to solve a specific practical advertising statistics problem using Excel; the solution to each of these problems is also given in an Appendix. Includes 167 illustrations in color Suitable for undergraduates or graduate students Thomas J. Quirk is Professor of Marketing in the George Herbert Walker School of Business & Technology at Webster University based in St. Louis, Missouri (USA) where he teaches Marketing Statistics, Marketing Research, and Pricing Strategies. He has published over 20 articles in professional journals, and presented more than 20 papers at professional conferences. Eric Rhiney is Associate Professor of Marketing at the George Herbert Walker School of Business & Technology at Webster University in St. Louis, Missouri (USA) where he teaches Research Design, Marketing Research and Marketing Strategies.  He is involved in several quantitative research studies focused on in-group out-group orientation on consumer attitudes, digital marketing behavior, and cross-cultural marketing, and has presented is work at numerous professional conferences.  .


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Actuarial Sciences and Quantitative Finance : ICASQF2016, Cartagena, Colombia, June 2016
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ISBN: 9783319665368 Year: 2017 Publisher: Cham Springer International Publishing

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Developed from the Second International Congress on Actuarial Science and Quantitative Finance, this volume showcases the latest progress in all theoretical and empirical aspects of actuarial science and quantitative finance. Held at the Universidad de Cartagena in Cartegena, Colombia in June 2016, the conference emphasized relations between industry and academia and provided a platform for practitioners to discuss problems arising from the financial and insurance industries in the Andean and Caribbean regions. Based on invited lectures as well as carefully selected papers, these proceedings address topics such as statistical techniques in finance and actuarial science, portfolio management, risk theory, derivative valuation and economics of insurance.


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Handbook of Marketing Decision Models
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ISBN: 9783319569413 Year: 2017 Publisher: Cham Springer International Publishing

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The Second Edition of this book presents the state of the art in this important field. Marketing decision models constitute a core component of the marketing discipline and the area is changing rapidly, not only due to fundamental advances in methodology and model building, but also because of the recent developments in information technology, the Internet and social media. This Handbook contains eighteen chapters that cover the most recent developments of marketing decision models in different domains of marketing. Compared to the previous edition, thirteen chapters are entirely new, while the remaining chapters represent complete updates and extensions of the previous edition. This new edition of the Handbook has chapters on models for substantive marketing problems, such as customer relationship management, customer loyalty management, website design, Internet advertising, social media, and social networks. In addition, it contains chapters on recent methodological developments that are gaining popularity in the area of marketing decision models, such as structural modeling, learning dynamics, choice modeling, eye-tracking and measurement. The introductory chapter discusses the main developments of the last decade and discusses perspectives for future developments.


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Country Asset Allocation : Quantitative Country Selection Strategies in Global Factor Investing
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ISBN: 9781137591913 Year: 2017 Publisher: New York Palgrave Macmillan US :Imprint: Palgrave Macmillan

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This book demonstrates how quantitative country-level investment strategies can be successfully employed to manage money in international markets. It offers a range of state-of-the-art quantitative strategies, describing their theoretical bases, implementation details, and performance in over 70 countries between 1995 and 2015. International diversification has long been a key to stable investing. However, the increased integration and openness of global financial markets has led to rising correlations between stock market returns in particular countries, driving down the benefits of diversification and increasing the importance of country selection strategies as part of an investment process. Zaremba and Shemer explain the efficiency of quantitative investing, which captures huge amounts of data of limited scope very quickly. In the traditional approach, this data compilation is an immense undertaking, limited in scope and vulnerable to behavioral errors, but this can be overcome with the help of a new paradigm of quantitative investment at the country level. Quantitative country asset allocation can be efficiently accomplished by using wealth insights that have been generated in the academic literature, discovering many anomalies and regular patterns in asset prices. Armed with this information, investors and managers can process large amounts of data more efficiently when deciding to invest in ETFs, index funds, or futures markets.


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Approximate Dynamic Programming for Dynamic Vehicle Routing
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ISBN: 9783319555119 Year: 2017 Publisher: Cham Springer International Publishing

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This book provides a straightforward overview for every researcher interested in stochastic dynamic vehicle routing problems (SDVRPs). The book is written for both the applied researcher looking for suitable solution approaches for particular problems as well as for the theoretical researcher looking for effective and efficient methods of stochastic dynamic optimization and approximate dynamic programming (ADP). To this end, the book contains two parts. In the first part, the general methodology required for modeling and approaching SDVRPs is presented. It presents adapted and new, general anticipatory methods of ADP tailored to the needs of dynamic vehicle routing. Since stochastic dynamic optimization is often complex and may not always be intuitive on first glance, the author accompanies the theoretical ADP-methodology with illustrative examples from the field of SDVRPs. The second part of this book then depicts the application of the theory to a specific SDVRP. The process starts from the real-world application. The author describes a SDVRP with stochastic customer requests often addressed in the literature, and then shows in detail how this problem can be modeled as a Markov decision process and presents several anticipatory solution approaches based on ADP. In an extensive computational study, he shows the advantages of the presented approaches compared to conventional heuristics. To allow deep insights in the functionality of ADP, he presents a comprehensive analysis of the ADP approaches.


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Statistical Estimation for Truncated Exponential Families
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ISBN: 9789811052965 Year: 2017 Publisher: Singapore Springer Singapore, Imprint: Springer

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This book presents new findings on nonregular statistical estimation. Unlike other books on this topic, its major emphasis is on helping readers understand the meaning and implications of both regularity and irregularity through a certain family of distributions. In particular, it focuses on a truncated exponential family of distributions with a natural parameter and truncation parameter as a typical nonregular family. This focus includes the (truncated) Pareto distribution, which is widely used in various fields such as finance, physics, hydrology, geology, astronomy, and other disciplines. The family is essential in that it links both regular and nonregular distributions, as it becomes a regular exponential family if the truncation parameter is known. The emphasis is on presenting new results on the maximum likelihood estimation of a natural parameter or truncation parameter if one of them is a nuisance parameter. In order to obtain more information on the truncation, the Bayesian approach is also considered. Further, the application to some useful truncated distributions is discussed. The illustrated clarification of the nonregular structure provides researchers and practitioners with a solid basis for further research and applications.


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Household Vulnerability and Conditional Cash Transfers : Consumption Smoothing Effects of PROGRESA-Oportunidades in Rural Mexico, 2003−2007
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ISBN: 9789811041037 Year: 2017 Publisher: Singapore Springer Singapore, Imprint: Springer

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This book empirically analyzes the vulnerability of poor households in rural areas of Mexico and the effects of the conditional cash transfer (CCT) program called PROGRESA-Oportunidades by adopting the two most recent sets of rural household panel data for 2003−2007. The period covered by this book coincides with the unexpected reversal of the poverty trend observed in 2006 to the present which raised a question of vulnerability to poverty of Mexican households that had emerged from poverty in the early 2000s under a stable economic condition. The author applies different methodologies in defining vulnerable households in each chapter, enabling discussion of the multiple dimensions of vulnerability from varying perspectives, to identify the determinants of rural household vulnerability to poverty and the CCT effects. Empirical studies reported in this book confirmed a certain role played by PROGRESA-Oportunidades in mitigating vulnerability; however, the effect was rather partial and could not fully achieve poverty reduction during the surveyed period. By combining the existent discussions and empirical results of the CCT impacts, the author concludes that a possible limitation of PROGRESA-Oportunidades may be the excessive focus on the labor supply side, thus complementary policies must enhance the demand side, especially in creating decent employment opportunities for youth.

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