quantitative

Academic Search Engines A Quantitative Outlook【電子書籍】 Jose Luis OrtegaIntroduction To Machine Learning In Quantitative Finance, An【電子書籍】 Hao NiSoziologie - Untersuchungen ber die Formen der Vergesellschaftung Das Problem der Soziologie Die quantitative Bestimmtheit der Gruppe ber- und Unterordnung Der Streit Das Geheimnis und die geheime Gesellschaft Sozialpsychol【電子書籍】Quantitative Asset Management: Factor Investing and Machine Learning for Institutional Investing【電子書籍】 Michael RobbinsQuantitative Data Analysis for Language Assessment Volume II Advanced Methods【電子書籍】Official GRE Quantitative Reasoning Practice Questions, Volume 1, Second Edition【電子書籍】 Educational Testing ServiceQuantitative Finance For Dummies【電子書籍】 Steve BellQuantitative Finance with Python A Practical Guide to Investment Management, Trading, and Financial Engineering【電子書籍】 Chris KelliherQuantitative Fish Dynamics【電子書籍】 Terrance J. QuinnComputer Architecture A Quantitative Approach【電子書籍】 John L. HennessyQuantitative Infrared Spectroscopy for Understanding of a Condensed Matter【電子書籍】 Takeshi HasegawaGMAT Official Guide 2023-2024 Bundle, Focus Edition: Includes GMAT Official Guide, GMAT Quantitative GMAT OFF GD 2023-2024 BUNDLE F Gmac (Graduate Management Admission CounQuantitative Economics with R A Data Science Approach【電子書籍】 Vikram DayalQuantitative Seismic Interpretation Applying Rock Physics Tools to Reduce Interpretation Risk【電子書籍】 Per AvsethNew Frontiers in Quantitative Methods in Informatics 7th Workshop, InfQ 2017, Venice, Italy, December 4, 2017, Revised Selected Papers【電子書籍】Using R for Modelling and Quantitative Methods in Fisheries【電子書籍】 Malcolm HaddonCommand Transitions in Public Administration A Quantitative and Qualitative Analysis of Proactive Strategies【電子書籍】 James C. BrownReporting Quantitative Research in Psychology: How to Meet APA Style Journal Article Reporting Stand REPORTING QUANTITATIVE RESEARC Harris CooperHandbook of Quantitative Methods for Detecting Cheating on Tests【電子書籍】An Introductory Course of Quantitative Chemical Analysis With Explanatory Notes【電子書籍】 Henry Paul Talbot
 

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  • <p><em>Academic Search Engines</em> intends to run through the current panorama of the academic search engines through a quantitative approach that analyses the reliability and consistence of these services. The objective is to describe the main characteristics of these engines, to highlight their advantages and drawbacks, and to discuss the implications of these new products in the future of scientific communication and their impact on the research measurement and evaluation. In short, Academic Search Engines presents a summary view of the new challenges that the Web set to the scientific activity through the most novel and innovative searching services available on the Web.</p> <ul> <li>This is the first approach to analyze search engines exclusively addressed to the research community in an integrative handbook. The novelty, expectation and usefulness of many of these services justify their analysis</li> <li>This book is not merely a description of the web functio...
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  • <p>In today's world, we are increasingly exposed to the words 'machine learning' (ML), a term which sounds like a panacea designed to cure all problems ranging from image recognition to machine language translation. Over the past few years, ML has gradually permeated the financial sector, reshaping the landscape of quantitative finance as we know it.An Introduction to Machine Learning in Quantitative Finance aims to demystify ML by uncovering its underlying mathematics and showing how to apply ML methods to real-world financial data. In this book the authorsFeatured with the balance of mathematical theorems and practical code examples of ML, this book will help you acquire an in-depth understanding of ML algorithms as well as hands-on experience. After reading An Introduction to Machine Learning in Quantitative Finance, ML tools will not be a black box to you anymore, and you will feel confident in successfully applying what you have learnt to empirical financial data!</p>画面が...
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  • <p>Dieses eBook: "Soziologie - Untersuchungen ?ber die Formen der Vergesellschaftung" ist mit einem detaillierten und dynamischen Inhaltsverzeichnis versehen und wurde sorgf?ltig korrekturgelesen. Georg Simmel (1858-1918) war ein deutscher Philosoph und Soziologe. Er leistete wichtige Beitr?ge zur Kulturphilosophie, war Begr?nder der "formalen Soziologie" und der Konfliktsoziologie. Simmel stand in der Tradition der Lebensphilosophie, aber auch der des Neukantianismus. Inhalt: Das Problem der Soziologie Exkurs ?ber das Problem: Wie ist Gesellschaft m?glich? Die quantitative Bestimmtheit der Gruppe ?ber- und Unterordnung Exkurs ?ber die ?berstimmung Der Streit Das Geheimnis und die geheime Gesellschaft Exkurs ?ber den Schmuck Exkurs ?ber den schriftlichen Verkehr Die Kreuzung sozialer Kreise Der Arme Exkurs ?ber die Negativit?t kollektiver Verhaltensweisen Die Selbsterhaltung der sozialen Gruppe Exkurs ?ber das Erbamt Exkurs ?ber Sozialpsychologie Exkurs ?ber Treue und Dankbarkeit ...
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  • <p><strong>Augment your asset allocation strategy with machine learning and factor investing for unprecedented returns and growth</strong></p> <p>Whether you’re managing institutional portfolios or private wealth, <em>Quantitative Asset Management</em> will open your eyes to a new, more successful way of investingーone that harnesses the power of big data and artificial intelligence.</p> <p>This innovative guide walks you through everything you need to know to fully leverage these revolutionary tools. Written from the perspective of a seasoned financial investor making use of technology, it details proven investing methods, striking a rare balance between providing important technical information without burdening you with overly complex investing theory. <em>Quantitative Asset Management</em> is organized into four thematic sections:</p> <ul> <li>Part I reveals invaluable lessons for planning and governance of investment decision-making.</li> <li>Par...
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  • <p><em>Quantitative Data Analysis for Language Assessment Volume II: Advanced Methods</em> demonstrates advanced quantitative techniques for language assessment. The volume takes an interdisciplinary approach and taps into expertise from language assessment, data mining, and psychometrics. The techniques covered include Structural Equation Modeling, Data Mining, Multidimensional Psychometrics and Multilevel Data Analysis.Volume II is distinct among available books in language assessment, as it engages the readers in both theory and application of the methods and introduces relevant techniques for theory construction and validation. This book is highly recommended to graduate students and researchers who are searching for innovative and rigorous approaches and methods to achieve excellence in their dissertations and research. It is also a valuable source for academics who teach quantitative approaches in language assessment and data analysis courses.</p>画面が切り替わりますの...
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  • <p><strong>150 Real GRE Quantitative Reasoning questions ? direct from the test maker!</strong></p> <p>The best way to prepare for the Quantitative Reasoning measure of the GRE? General Test is with real GRE test questionsーand that is what you will find in this unique guide. Specially created by the actual test maker, it offers 150 actual GRE Quantitative Reasoning questions with complete explanations. Plus, this guide includes a review of math topics likely to appear on Quantitative Reasoning measure.</p> <p>Only ETS can show you exactly what to expect on the test. For in-depth practice and accurate, reliable test preparation for the GRE Quantitative Reasoning measure, this guide is your best choice!</p> <p><strong>This essential study guide features:</strong><br /> ? Authentic GRE Quantitative Reasoning practice questions, arranged by content and question type -- to help you build your test-taking skills -- plus, mixed practice tests<br /> ? Answers and ...
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  • <p><strong>An accessible introduction to quantitative finance by the numbers--for students, professionals, and personal investors</strong></p> <p>The world of quantitative finance is complex, and sometimes even high-level financial experts have difficulty grasping it. <em>Quantitative Finance For Dummies</em> offers plain-English guidance on making sense of applying mathematics to investing decisions. With this complete guide, you'll gain a solid understanding of futures, options and risk, and become familiar with the most popular equations, methods, formulas, and models (such as the Black-Scholes model) that are applied in quantitative finance.</p> <p>Also known as mathematical finance, quantitative finance is about applying mathematics and probability to financial markets, and involves using mathematical models to help make investing decisions. It's a highly technical discipline--but almost all investment companies and hedge funds use quantitative methods.</p> ...
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  • <p><em><strong>Quantitative Finance with Python: A Practical Guide to Investment Management, Trading and Financial Engineering</strong></em> bridges the gap between the theory of mathematical finance and the practical applications of these concepts for derivative pricing and portfolio management. The book provides students with a very hands-on, rigorous introduction to foundational topics in quant finance, such as options pricing, portfolio optimization and machine learning. Simultaneously, the reader benefits from a strong emphasis on the practical applications of these concepts for institutional investors.</p> <p><strong>Features</strong></p> <ul> <li>Useful as both a teaching resource and as a practical tool for professional investors.</li> <li>Ideal textbook for first year graduate students in quantitative finance programs, such as those in master’s programs in Mathematical Finance, Quant Finance or Financial Engineering.</li> <li>Includes a persp...
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  • <p>This book serves as an advanced text on fisheries and fishery population dynamics and as a reference for fisheries scientists. It provides a thorough treatment of contemporary topics in quantitative fisheries science and emphasizes the link between biology and theory by explaining the assumptions inherent in the quantitative methods. The analytical methods are accessible to a wide range of biologists, and the book includes numerous examples. The book is unique in covering such advanced topics as optimal harvesting, migratory stocks, age-structured models, and size models.</p>画面が切り替わりますので、しばらくお待ち下さい。 ※ご購入は、楽天kobo商品ページからお願いします。※切り替わらない場合は、こちら をクリックして下さい。 ※このページからは注文できません。
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  • <p><em>Computer Architecture: A Quantitative Approach, Sixth Edition</em> has been considered essential reading by instructors, students and practitioners of computer design for over 20 years. The sixth edition of this classic textbook from Hennessy and Patterson, winners of the 2017 ACM A.M. Turing Award recognizing contributions of lasting and major technical importance to the computing field, is fully revised with the latest developments in processor and system architecture. The text now features examples from the RISC-V (RISC Five) instruction set architecture, a modern RISC instruction set developed and designed to be a free and openly adoptable standard. It also includes a new chapter on domain-specific architectures and an updated chapter on warehouse-scale computing that features the first public information on Google's newest WSC.</p> <p>True to its original mission of demystifying computer architecture, this edition continues the longstanding tradition of focusin...
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  • <p>This book is intended to provide a course of infrared spectroscopy for quantitative analysis, covering both bulk matter and surface/interface analyses. Although the technology of Fourier transform infrared (FT-IR) spectroscopy was established many years ago, the full potential of infrared spectroscopy has not been properly recognized, and its intrinsic potential is still put aside. FT-IR has outstandingly useful characteristics, however, represented by the high sensitivity for monolayer analysis, highly reliable quantitativity, and reproducibility, which are quite suitable for surface and interface analysis. Because infrared spectroscopy provides rich chemical informationーfor example, hydrogen bonding, molecular conformation, orientation, aggregation, and crystallinityーFT-IR should be the first choice of chemical analysis in a laboratory. In this book, various analytical techniques and basic knowledge of infrared spectroscopy are described in a uniform manner. In particular, ...
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  • GMAT OFF GD 2023ー2024 BUNDLE F Gmac (Graduate Management Admission Coun WILEY2023 Paperback English ISBN:9781394187751 洋書 Reference & Language(辞典&語学) Study Aids
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  • <p>This book provides a contemporary treatment of quantitative economics, with a focus on data science. The book introduces the reader to R and RStudio, and uses expert Hadley Wickham’s tidyverse package for different parts of the data analysis workflow. After a gentle introduction to R code, the reader’s R skills are gradually honed, with the help of “your turn” exercises.</p> <p>At the heart of data science is data, and the book equips the reader to import and wrangle data, (including network data). Very early on, the reader will begin using the popular ggplot2 package for visualizing data, even making basic maps. The use of R in understanding functions, simulating difference equations, and carrying out matrix operations is also covered. The book uses Monte Carlo simulation to understand probability and statistical inference, and the bootstrap is introduced. Causal inference is illuminated using simulation, data graphs, and R code for applications with real economic examples...
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  • <p>Quantitative Seismic Interpretation demonstrates how rock physics can be applied to predict reservoir parameters, such as lithologies and pore fluids, from seismically derived attributes. The authors provide an integrated methodology and practical tools for quantitative interpretation, uncertainty assessment, and characterization of subsurface reservoirs using well-log and seismic data. They illustrate the advantages of these new methodologies, while providing advice about limitations of the methods and traditional pitfalls. This book is aimed at graduate students, academics and industry professionals working in the areas of petroleum geoscience and exploration seismology. It will also interest environmental geophysicists seeking a quantitative subsurface characterization from shallow seismic data. The book includes problem sets and a case-study, for which seismic and well-log data, and MATLAB? codes are provided on a website (www.cambridge.org/9780521151351). These resources w...
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  • <p>This book constitutes the refereed proceedings of the 7th Workshop on New Frontiers in Quantitative Methods in Informatics, InfQ 2017, held in Venice, Italy, in December 2017.<br /> The 11 revised full papers and the one revised short paper presented were carefully reviewed and selected from 22 submissions. The papers are organized in topical sections on networking and mobile applications; applications of quantitative modeling; big data processing and IoT; theory, methods and tools for quantitative analysis.</p>画面が切り替わりますので、しばらくお待ち下さい。 ※ご購入は、楽天kobo商品ページからお願いします。※切り替わらない場合は、こちら をクリックして下さい。 ※このページからは注文できません。
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  • <p><strong>Using R for Modelling and Quantitative Methods in Fisheries</strong> has evolved and been adapted from an earlier book by the same author and provides a detailed introduction to analytical methods commonly used by fishery scientists, ecologists, and advanced students using the open-source software R as a programming tool. Some knowledge of R is assumed, as this is a book about using R, but an introduction to the development and working of functions, and how one can explore the contents of R functions and packages, is provided.</p> <p>The example analyses proceed step-by-step using code listed in the book and from the book’s companion R package, MQMF, available from GitHub and the standard archive, CRAN. The examples are designed to be simple to modify so the reader can quickly adapt the methods described to use with their own data. A primary aim of the book is to be a useful resource to natural resource practitioners and students.</p> <p>Featured Chapters:<...
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  • <p>This Brief provides a quantitative and qualitative analysis of proactive strategies for management transitions in criminal justice and other public administration civic service agencies. These organizations have a unique need for managing transitions effectively.</p> <p>Compared to private organizations: they have a relatively high frequency of management transitions due to the terms of elected and appointed officials, and these new managers more often come from outside the organization.</p> <p>Through an mixed-methods study of criminal justice command level staff in New York state, researchers found a number of key components to successful transitions. Based on their study, the researchers prepared a set of guidelines called the Command Transition Matrix. This tool is aimed at police and public administration leadership. The methodology used to develop it will be of interest to researchers in Criminal Justice Administration, Public Policy, and Management Science.</p>...
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  • REPORTING QUANTITATIVE RESEARC Harris Cooper AMER PSYCHOLOGICAL ASSN2020 Paperback Second, Revised English ISBN:9781433832833 洋書 Social Science(社会科学) Psychology
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  • <p>The rising reliance on testing in American education and for licensure and certification has been accompanied by an escalation in cheating on tests at all levels. Edited by two of the foremost experts on the subject, the <em>Handbook of Quantitative Methods for Detecting Cheating on Tests</em> offers a comprehensive compendium of increasingly sophisticated data forensics used to investigate whether or not cheating has occurred. Written for practitioners, testing professionals, and scholars in testing, measurement, and assessment, this volume builds on the claim that statistical evidence often requires less of an inferential leap to conclude that cheating has taken place than do other, more common sources of evidence.</p> <p>This handbook is organized into sections that roughly correspond to the kinds of threats to fair testing represented by different forms of cheating. In Section I, the editors outline the fundamentals and significance of cheating, and they introduce t...
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  • <p>In 'An Introductory Course of Quantitative Chemical Analysis' by Henry Paul Talbot, the reader is provided with a comprehensive guide on the principles and techniques of quantitative chemical analysis. Written in a clear and concise style, this book delves into the methods used to accurately determine the composition of various chemical compounds. Talbot's work is situated within the context of analytical chemistry, showcasing his expertise in the field and his ability to make complex concepts accessible to readers. The book includes detailed explanations, practical examples, and exercises to aid in the understanding and application of quantitative analysis techniques. Overall, Talbot's literary style is both informative and engaging, making this book an essential resource for students and professionals in the field of chemistry.Henry Paul Talbot, a renowned chemist with years of research and teaching experience, brings his expertise to 'An Introductory Course of Quantitative C...
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