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Book is in Used-VeryGood condition. Pages and cover are clean and intact. Used items may not include supplementary materials such as CDs or access codes. May show signs of minor shelf wear and contain very limited notes and highlighting. 1.2

2016 release. Gross Net present their debut album Quantitative Easing through Touch Sensitive Records. Initially a guitar/bass/drum-machine duo of Philip Quinn (Girls Names) and Christian Donaghey (Autumns), Gross Net was conceived as an output for ideas alternative to their other groups. After the release of their first cassette EP on Art For Blind Records and Donaghey's subsequent departure to concentrate fully on Autumns, Quinn took up the Gross Net mantle solo. Released via his own Austerity

This book concentrates on the accuracy of risk modelling rather than the management of risk analysis. It provides a comprehensive guide to modelling of uncertainty using spreadsheets and Monte Carlo software on standard PCs. It includes sufficient probability and statistics theory and provides the basic information necessary for a simple risk analysis model.

Supervision in Action aims to help professional and trainee supervisors, consultants and coaches to 'take care of themselves' - in other words, the art of learning from their own experience in their practice.

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Wirtschaftwissenschaften und Mathematik sind eng miteinander verflochtene Fachgebiete. Aus diesem Grund ist es für Wirtschaftswissenschaftler unerlässlich, sich schon im Grundstudium fundierte Kenntnisse etwa in Finanzmathematik oder Extremwertberechnung anzueignen. Um dieses Wissen verständlich zu vermitteln, erklärt der Autor einerseits die Vorgehensweisen anhand von Praxisbeispielen und zahlreichen Anwendungen. Zum anderen werden die gängigen Methoden ausführlich beleuchtet, damit der Lernende in die Lage versetzt wird, die vorgestellten Modelle zu analysieren, weiterzuentwickeln und an die eigenen Erfordernisse anzupassen. Die Verständnisfragen und Aufgaben mit Lösungen zu jedem Kapitel, erleichtern es dem Studierenden, die eigenen Fortschritte zu überprüfen und Wissenslücken aufzuspüren. Die acht Klausuraufgaben mit angegebener Gewichtung helfen, die Prüfungssituation zu simulieren. Abgerundet wird das Lehrbuch durch ein Repetitorium Schulmathematik, durch das die wichtigsten Grundlagen aufgefrischt werden können.

A strong understanding and appreciation of statistics and quantitative research methods is vital to any graduate student of the social sciences, yet most similar texts do not adequately cover this subject. With this in mind, the author has designed a text suitable for first-year graduate survey courses that reviews general statistical theory and methods and explores the problems that quantitative social scientists face in conducting research. The topics covered in this book range from the philosophical basis of scientific research to issues of statistical inference, measurement, scaling, research design, sampling, and problems with missing data. Numerous examples are drawn from a range of specialties to illustrate a variety of practical applications. After providing an overview of the philosophical basis of quantitative social science, the book presents the concepts of theory formalization and causality. It then moves into more specific areas, focusing extensively on issues of design and data collection. Quantitative Research Methods in the Social Sciences is accessible to students with an intermediate-level background in social statistics and research methods. Professionals will find this detailed yet concise book to be an excellent reference. With over 350 classical and up-to-date citations, Quantitative Research Methods in the Social Sciences has something to offer all social science researchers.

This book combines practical guidance and theoretical background for analysts using empirical techniques in competition and antitrust investigations. Peter Davis and Eliana Garcés show how to integrate empirical methods, economic theory, and broad evidence about industry in order to provide high-quality, robust empirical work that is tailored to the nature and quality of data available and that can withstand expert and judicial scrutiny. Davis and Garcés describe the toolbox of empirical techniques currently available, explain how to establish the weight of pieces of empirical work, and make some new theoretical contributions. The book consistently evaluates empirical techniques in light of the challenge faced by competition analysts and academics--to provide evidence that can stand up to the review of experts and judges. The book's integrated approach will help analysts clarify the assumptions underlying pieces of empirical work, evaluate those assumptions in light of industry knowledge, and guide future work aimed at understanding whether the assumptions are valid. Throughout, Davis and Garcés work to expand the common ground between practitioners and academics.

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This text is designed for practitioners and students of applied statistical forecasting. It is suitable for both the undergraduate or graduate business student. The text presents structured, detailed discussions of the concepts, and step-by-step procedures for using current forecasting methods. It is assumed that the reader has a knowledge of basic algebra and statistics. The text organizes the study of forecasting by using the classical trend, seasonal, and cycle approach to differentiate between the methods presented. Each chapter is organized with an overview, illustrations of concepts, decision factors in using the particular technique, model fitting and forecasting, and diagnostic testing. Several forecasting methods are covered such as exponential smoothing, leading indicator, business cycle, adaptive forecasting, time series application of regression analysis, and relevant government time series techniques.

Quantitative System Performance, Computer System Analysis Using Queuing Network Models by Edward D. Lazowska (Hardcover)

Extensive descriptions of methods used to allocate assets and measure portfolio performance. Examples illustrate the analysis of equity, fixed income, real estate and derivative securities. For each area, the potential benefits and limitations of quantitative analysis are described. Annotation copyright Book News, Inc. Portland, Or.

As in its first edition, the new edition of Quantitative Corpus Linguistics with R demonstrates how to process corpus-linguistic data with the open-source programming language and environment R. Geared in general towards linguists working with observational data, and particularly corpus linguists, it introduces R programming with emphasis on: data processing and manipulation in general; text processing with and without regular expressions of large bodies of textual and/or literary data, and; basic aspects of statistical analysis and visualization. This book is extremely hands-on and leads the reader through dozens of small applications as well as larger case studies. Along with an array of exercise boxes and separate answer keys, the text features a didactic sequential approach in case studies by way of subsections that zoom in to every programming problem. The companion website to the book contains all relevant R code (amounting to approximately 7,000 lines of heavily commented code), most of the data sets as well as pointers to others, and a dedicated Google newsgroup. This new edition is ideal for both researchers in corpus linguistics and instructors who want to promote hands-on approaches to data in corpus linguistics courses.

To foster a deeper understanding of the interconnection of the social sciences, economists should know where historical data come from, sociologists should know how to think like economists, political scientists would benefit from understanding how models are tested in psychology, historians should learn how political processes are studied, psychologists should understand sociological theories, and so forth. This overview by prominent social scientists gives an accessible, non-technical sense of how quantitative research is done in the social sciences. Upon finishing this book, the reader should have a sense of the different models and different ways of thinking in economics, history, sociology, political science and psychology, which in turn they can bring back to their major field.

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Book is in Used-VeryGood condition. Pages and cover are clean and intact. Used items may not include supplementary materials such as CDs or access codes. May show signs of minor shelf wear and contain very limited notes and highlighting. 0.85

Quantitative Risk Assessment for Environmental and Occupational Health, Second Edition features twice as many risk analysis models with complete examples as the previous edition. The book features new information in the following areas:Calculation of human dose rate and dose from experimental studies (animal and human)Quantitation of responseTests of significanceCalculation of excess riskCalculation of confidence limits on excess riskIndividual and group excess riskConversion of risk factor unitsAcceptable concentrationsQuantitative Risk Assessment for Environmental and Occupational Health, Second Edition will be an essential risk assessment reference for industrial hygienists, environmental scientists and engineers, toxicologists, epidemiologists, attorneys, regulatory officials, and manufacturers and users of chemicals.

An innovative approach to post-crash credit portfolio management Credit portfolio managers traditionally rely on fundamental research for decisions on issuer selection and sector rotation. Quantitative researchers tend to use more mathematical techniques for pricing models and to quantify credit risk and relative value. The information found here bridges these two approaches. In an intuitive and readable style, this book illustrates how quantitative techniques can help address specific questions facing today's credit managers and risk analysts. A targeted volume in the area of credit, this reliable resource contains some of the most recent and original research in this field, which addresses among other things important questions raised by the credit crisis of 2008-2009. Divided into two comprehensive parts, Quantitative Credit Portfolio Management offers essential insights into understanding the risks of corporate bonds―spread, liquidity, and Treasury yield curve risk―as well as managing corporate bond portfolios. Presents comprehensive coverage of everything from duration time spread and liquidity cost scores to capturing the credit spread premium Written by the number one ranked quantitative research group for four consecutive years by Institutional Investor Provides practical answers to difficult question, including: What diversification guidelines should you adopt to protect portfolios from issuer-specific risk? Are you well-advised to sell securities downgraded below investment grade? Credit portfolio management continues to evolve, but with this book as your guide, you can gain a solid understanding of how to manage complex portfolios under dynamic events.