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Introduction to Quantitative Methods in Business: With Appli, Kolluri Bharat


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Автор: Kolluri Bharat
Название:  Introduction to Quantitative Methods in Business: With Appli
ISBN: 9781119220978
Издательство: Wiley
Классификация:



ISBN-10: 1119220971
Обложка/Формат: Hardback
Страницы: 320
Вес: 0.74 кг.
Дата издания: 30.09.2016
Серия: Economics/Business/Finance
Язык: English
Размер: 187 x 264 x 23
Читательская аудитория: Professional & vocational
Ключевые слова: Economics,Business & management,Mathematics
Подзаголовок: With applications using microsoft (r) office excel (r)
Ссылка на Издательство: Link
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Поставляется из: Англии
Описание:

A well-balanced and accessible introduction to the elementary quantitative methods and Microsoft(R) Office Excel(R) applications used to guide business decision making

Featuring quantitative techniques essential for modeling modern business situations, Introduction to Quantitative Methods in Business: With Applications Using Microsoft(R) Office Excel(R) provides guidance to assessing real-world data sets using Excel. The book presents a balanced approach to the mathematical tools and techniques with applications used in the areas of business, finance, economics, marketing, and operations.

The authors begin by establishing a solid foundation of basic mathematics and statistics before moving on to more advanced concepts. The first part of the book starts by developing basic quantitative techniques such as arithmetic operations, functions and graphs, and elementary differentiations (rates of change), and integration. After a review of these techniques, the second part details both linear and nonlinear models of business activity. Extensively classroom-tested, Introduction to Quantitative Methods in Business: With Applications Using Microsoft(R) Office Excel(R) also includes:

  • Numerous examples and practice problems that emphasize real-world business quantitative techniques and applications
  • Excel-based computer software routines that explore calculations for an assortment of tasks, including graphing, formula usage, solving equations, and data analysis
  • End-of-chapter sections detailing the Excel applications and techniques used to address data and solutions using large data sets
  • A companion website that includes chapter summaries, Excel data sets, sample exams and quizzes, lecture slides, and an Instructors Solutions Manual

Introduction to Quantitative Methods in Business: With Applications Using Microsoft(R) Office Excel(R) is an excellent textbook for undergraduate-level courses on quantitative methods in business, economics, finance, marketing, operations, and statistics. The book is also an ideal reference for readers with little or no quantitative background who require a better understanding of basic mathematical and statistical concepts used in economics and business.

Bharat Kolluri, Ph.D., is Professor of Economics in the Department of Economics, Finance, and Insurance at the University of Hartford. A member of the American Economics Association, his research interests include econometrics, business statistics, quantitative decision making, applied macroeconomics, applied microeconomics, and corporate finance.

Michael J. Panik, Ph.D., is Professor Emeritus in the Department of Economics, Finance, and Insurance at the University of Hartford. He has served as a consultant to the Connecticut Department of Motor Vehicles as well as to a variety of health care organizations. In addition, Dr. Panik is the author of numerous books, including Growth Curve Modeling: Theory and Applications and Statistical Inference: A Short Course, both published by Wiley.

Rao N. Singamsetti, Ph.D., is Associate Professor in the Department of Economics, Finance, and Insurance at the University of Hartford. A member of the American Economics Association, his research interests include the status of war on poverty in the United States since the 1960s and forecasting foreign exchange rates using econometric methods.




Applied Linear Statistical Models with Student CD

Автор: Nachtsheim;Neter;Kutner
Название: Applied Linear Statistical Models with Student CD
ISBN: 0071122214 ISBN-13(EAN): 9780071122214
Издательство: McGraw-Hill
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Цена: 9265.00 р.
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Описание: "Applied Linear Statistical Models", 5e, is the long established leading authoritative text and reference on statistical modeling. For students in most any discipline where statistical analysis or interpretation is used, ALSM serves as the standard work. The text includes brief introductory and review material, and then proceeds through regression and modeling for the first half, and through ANOVA and Experimental Design in the second half. All topics are presented in a precise and clear style supported with solved examples, numbered formulae, graphic illustrations, and "Notes" to provide depth and statistical accuracy and precision. Applications used within the text and the hallmark problems, exercises, and projects are drawn from virtually all disciplines and fields providing motivation for students in virtually any college. The Fifth edition provides an increased use of computing and graphical analysis throughout, without sacrificing concepts or rigor. In general, the 5e uses larger data sets in examples and exercises, and where methods can be automated within software without loss of understanding, it is so done.

Empirical Modeling and Data Analysis for Engineers and Appli

Автор: Pardo Scott
Название: Empirical Modeling and Data Analysis for Engineers and Appli
ISBN: 3319327674 ISBN-13(EAN): 9783319327679
Издательство: Springer
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Цена: 9362.00 р.
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Описание: This textbook teaches advanced undergraduate and first-year graduate students in Engineering and Applied Sciences to gather and analyze empirical observations (data) in order to aid in making design decisions.

While science is about discovery, the primary paradigm of engineering and 'applied science' is design. Scientists are in the discovery business and want, in general, to understand the natural world rather than to alter it. In contrast, engineers and applied scientists design products, processes, and solutions to problems.
That said, statistics, as a discipline, is mostly oriented toward the discovery paradigm. Young engineers come out of their degree programs having taken courses such as 'Statistics for Engineers and Scientists' without any clear idea as to how they can use statistical methods to help them design products or processes. Many seem to think that statistics is only useful for demonstrating that a device or process actually does what it was designed to do. Statistics courses emphasize creating predictive or classification models - predicting nature or classifying individuals, and statistics is often used to prove or disprove phenomena as opposed to aiding in the design of a product or process. In industry however, Chemical Engineers use designed experiments to optimize petroleum extraction; Manufacturing Engineers use experimental data to optimize machine operation; Industrial Engineers might use data to determine the optimal number of operators required in a manual assembly process. This text teaches engineering and applied science students to incorporate empirical investigation into such design processes.
Much of the discussion in this book is about models, not whether the models truly represent reality but whether they adequately represent reality with respect to the problems at hand; many ideas focus on how to gather data in the most efficient way possible to construct adequate models.Includes chapters on subjects not often seen together in a single text (e.g., measurement systems, mixture experiments, logistic regression, Taguchi methods, simulation)Techniques and concepts introduced present a wide variety of design situations familiar to engineers and applied scientists and inspire incorporation of experimentation and empirical investigation into the design process.Software is integrally linked to statistical analyses with fully worked examples in each chapter; fully worked using several packages: SAS, R, JMP, Minitab, and MS Excel - also including discussion questions at the end of each chapter.
The fundamental learning objective of this textbook is for the reader to understand how experimental data can be used to make design decisions and to be familiar with the most common types of experimental designs and analysis methods.
Writing about Quantitative Research in Applied Linguistics

Автор: Woodrow Lindy
Название: Writing about Quantitative Research in Applied Linguistics
ISBN: 0230369979 ISBN-13(EAN): 9780230369979
Издательство: Springer
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Цена: 9781.00 р.
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Описание: With increasing pressure on academics and graduate students to publish in peer reviewed journals, this book offers a much-needed guide to writing about and publishing quantitative research in applied linguistics. With annotated examples and useful resources, this book will be indispensable to graduate students and seasoned researchers alike.

Applied statistics for economists

Автор: Lewis Margaret
Название: Applied statistics for economists
ISBN: 0415554683 ISBN-13(EAN): 9780415554688
Издательство: Taylor&Francis
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Цена: 11023.00 р.
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Описание: This book is an undergraduate text that introduces students to commonly used statistical methods in economics. Using examples based on contemporary economic issues and readily available data, it not only explains the mechanics of the various methods, but also guides students to connect statistical results to detailed economic interpretations. Because the goal is for students to be able to apply the statistical methods presented, online sources for economic data and directions for performing each task in Excel are also included.

Applied Statistics for Economics and Business

Автор: ?zdemir
Название: Applied Statistics for Economics and Business
ISBN: 3319264958 ISBN-13(EAN): 9783319264950
Издательство: Springer
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Цена: 6288.00 р.
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Описание: This textbook introduces readers to practical statisticalissues by presenting them within the context of real-life economics andbusiness situations. It presents the subject in a non-threatening manner, withan emphasis on concise, easily understandable explanations. It has beendesigned to be accessible and student-friendly and, as an added learningfeature, provides all the relevant data required to complete the accompanyingexercises and computing problems, which are presented at the end of eachchapter. It also discusses index numbers and inequality indices in detail,since these are of particular importance to students and commonly omitted intextbooks.Throughout the text it is assumed that the student has noprior knowledge of statistics. It is aimed primarily at business and economicsundergraduates, providing them with the basic statistical skills necessary forfurther study of their subject. However, students of other disciplines willalso find it relevant.

Introductory Mathematics for Economics and Business

Автор: Holden, Ken (Professor of Applied Economics
Название: Introductory Mathematics for Economics and Business
ISBN: 0333576497 ISBN-13(EAN): 9780333576496
Издательство: Springer
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Цена: 13974.00 р.
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Описание: This is a fully revised edition of the successful text Mathematics for Economists by Ken Holden and Alan Pearson. It has been updated and covers the essential mathematics required by students of economics and business. The emphasis is on applying mathematics rather than providing theorems and a wide range of applications are covered with detailed answers provided for many of the exercises.

Applied statistics in business and economics

Автор: Doane
Название: Applied statistics in business and economics
ISBN: 0071108149 ISBN-13(EAN): 9780071108140
Издательство: McGraw-Hill
Цена: 4288.00 р.
Наличие на складе: Поставка под заказ.

Описание: This new text offers an Excel focused approach to using statistics in business. All statistical concepts are illustrated with applied examples immediately upon introduction. Modern computing tools and applications are introduced, and the text maintains a strong focus on presenting statistical concepts as applied in business --as opposed to providing programming methods used to find a mathematical solution. Interpretation is heavily emphasized, enabling students to take full advantage of Excel to develop and drive problem-solving skills. Key Features Applied Statistics in Business and Economics covers all the basic topics in the standard Business Statistics course, both undergraduate and MBA, using real and realistic data sets and modern technology. Benefit : Students are studying statistics in the same 'environment' in which they can apply it. Visual Statistics, Learning Stats, and MegaStat are integrated within the text and included in the package. Benefit : Because the text package supports these more practical applications of statistics, instructors can -at their option, provide an enriched selection of topics, without math and theory holding the class back. Examples, minicases, exercies are almost completely from published research or real applications. Two key example data sets are a health care management data and a midwest bank collection on Automated teller machines. Benefit : The complete selection of examples and application mirror the current business environment. Students using this text are quite likely to be involved immediately in analysis very much like those used in the text. Exercises are included both at the end of sections, and at the ends of chapters. There are plenty of examples within the chapters, and virtually all of these are available in a technology form on CD. The exercises often include 'encouragement' of experimentation and alternative analysis. Benefit : Because the text and exercises are integrated with techology, this more realistic approach provides students with a better understanding of the applicability of statistics, and more experience in 'doing' analysis. Though nearly 800 pages in length- the text is concise in it's treatment. Much of the length is due to the high frequency of graphic illustrations and instructional screen shots of Excel and MegaStat for Excel. The text is decidedly non-mathematical- in both 'look and feel' and in substance. All but the simplest proofs and derivations are eliminated. Benefit : Students who are frightened or intimidated by mathematics or by technical notation in textbooks will not have that reaction to this text. The text integrates many real world data sets, including two large sets featuring health care management and banking/financial data. Benefit : Many texts use real world material from previously published popular press sources, and many use manufacturing, marketing, and economic data. Doane's use of data, particularly these two original data sets, more accurately matches the state of industry today, with health care and financial services assuming a much larger role. The treatment of confidence intervals and inference emphasizes proportions because they are more important in business applications. The text also thoroughly integrates p-value interpretations of all tests. Benefit : Students have a modern treatment, appropriate with the prevailing application of technology in statistics today. Hypothesis Testing chapters and all examples are presented following a consistent five step format Benefit : This approach helps students develop a logical and consistent approach in their analysis and understanding of inference. Author Biography David Doane David P. Doane is Professor of Quantitative Methods in Oakland University's Department of Decision and Information Sciences. He earned his Bachelor of Arts degree in mathematics and economics at the University of Kansas in 1966 and his PhD from Purdue University's Krannert Graduate School in 1969. His research and teaching interests include applied statistics, forecasting, and statistical education. He is co-recipient of three National Science Foundation grants to develop software to teach statistics and to create a computer classroom. He is a long-time member of the American Statistical Association and INFORMS, serving in 2002 as President of the Detroit ASA chapter, where he remains on the board. He has consulted with government, health care organizations, and local firms. He has published articles in many academic journals and is the author of LearningStats (McGraw-Hill, 2003, 2007) and co-author of Visual Statistics (McGraw-Hill, 1997, 2001). Lori Seward Lori E. Seward is a Senior Instructor of Systems in the Leeds School of Business at the University of Colorado'Boulder. She earned her Bachelor of Science and Master of Science degrees in Industrial Engineering at Virginia Tech in 1984 and 1985. After several years working as a reliability and quality engineer in the paper and automotive industries she earned her PhD from Virginia Tech in 1998. She joined the Leeds faculty in 1998. Her teaching interests include applied statistics, quality management, and supply chain management and she has taken the lead in using advanced technology tools for enhancing the classroom and learning experience in large lecture courses. She served as the Chair of the INFORMS Teachers'Workshop for the annual 2004 meeting. Her most recent article was published in The InternationalJournal of Flexible Manufacturing Systems (Kluwer Academic Publishers, 2004). Table of Contents 1: Overview of Statistics 2: Data Collection 3: Describing Data Visually 4: Descriptive Statistics 5: Probability 6: Discrete Distributions 7: Continuous Distributions 8: Sampling Distributions and Estimation 9: Hypothesis Testing: One Sample 10: Hypothesis Testing: Two Sample Tests 11: Analysis of Variance 12: Bivariate Regression 13: Multiple Regression 14: Time Series Analysis 15: Chi-Square Tests 16: Nonparametric Tests 17: Quality Management

Applied Research Methods in Public and Nonprofit Organizations

Автор: Mitchell Brown,Kathleen Hale
Название: Applied Research Methods in Public and Nonprofit Organizations
ISBN: 1118737369 ISBN-13(EAN): 9781118737361
Издательство: Wiley
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Цена: 11563.00 р.
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Описание: A complete guide to applied research, featuring original data and detailed case studies Applied Research Methods in Public and Nonprofit Organizations takes an integrative approach to applied research, emphasizing design, data collection, and analysis.

Applied Regression: An Introduction

Автор: Lewis-Beck Michael S. Professor, Lewis-Beck Colin
Название: Applied Regression: An Introduction
ISBN: 1483381471 ISBN-13(EAN): 9781483381473
Издательство: Sage Publications
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Цена: 5859.00 р.
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Описание: Updates to this new edition include: more coverage of regression assumptions and model fit; additional material on residual analysis; more examples of transformations; and the inclusion of the measures of tolerance and VIF within the discussion about collinearity.

A-Z of Applied Linguistics Research Methods

Автор: Loewen Shawn
Название: A-Z of Applied Linguistics Research Methods
ISBN: 1137403217 ISBN-13(EAN): 9781137403216
Издательство: Springer
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Цена: 5030.00 р.
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Описание: A brief and accessible introduction to the concepts and techniques used in applied linguistics research, which will be illustrated using real-life examples. The book covers both qualitative and quantitative research design, sampling procedures, instrumentation and analyses found in applied linguistics research.


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