S G Intro Stats F Mgt And Econ
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Author | : James L. Kenkel |
Publisher | : Brooks/Cole |
Total Pages | : 901 |
Release | : 1981 |
Genre | : Commercial statistics |
ISBN | : 9780871503022 |
This text is intended for the two-term introductory statistics course for business and economics majors at the undergraduate or MBA level. College Algebra is a prerequisite. The author emphasizes statistical inference and model-building in a real-world context and presents a complete introduction to regression and forecasting. Statistical software output from SPSS, MINITAB, and SAS is included in each chapter's "Computer Applications" section to aid students in understanding and interpreting statistical output.
Author | : Kenkel |
Publisher | : Brooks/Cole |
Total Pages | : 526 |
Release | : 1981 |
Genre | : Commercial statistics |
ISBN | : 9780871503299 |
Author | : James L. Kenkel |
Publisher | : Brooks/Cole |
Total Pages | : 922 |
Release | : 1984 |
Genre | : Business & Economics |
ISBN | : |
Author | : James L. Kenkel |
Publisher | : |
Total Pages | : 324 |
Release | : 1989-01-01 |
Genre | : Commercial statistics |
ISBN | : 9780534916770 |
Author | : Cheng-Few Lee |
Publisher | : Springer |
Total Pages | : 657 |
Release | : 2019-06-03 |
Genre | : Business & Economics |
ISBN | : 1493994298 |
This rigorous textbook introduces graduate students to the principles of econometrics and statistics with a focus on methods and applications in financial research. Financial Econometrics, Mathematics, and Statistics introduces tools and methods important for both finance and accounting that assist with asset pricing, corporate finance, options and futures, and conducting financial accounting research. Divided into four parts, the text begins with topics related to regression and financial econometrics. Subsequent sections describe time-series analyses; the role of binomial, multi-nomial, and log normal distributions in option pricing models; and the application of statistics analyses to risk management. The real-world applications and problems offer students a unique insight into such topics as heteroskedasticity, regression, simultaneous equation models, panel data analysis, time series analysis, and generalized method of moments. Written by leading academics in the quantitative finance field, allows readers to implement the principles behind financial econometrics and statistics through real-world applications and problem sets. This textbook will appeal to a less-served market of upper-undergraduate and graduate students in finance, economics, and statistics.
Author | : Gerald Keller |
Publisher | : |
Total Pages | : 899 |
Release | : 2008-01-01 |
Genre | : Economics |
ISBN | : 9780324569599 |
Author | : Abdul Quader Miah |
Publisher | : Springer |
Total Pages | : 447 |
Release | : 2016-02-29 |
Genre | : Social Science |
ISBN | : 9811004013 |
This book addresses the application of statistical techniques and methods across a wide range of disciplines. While its main focus is on the application of statistical methods, theoretical aspects are also provided as fundamental background information. It offers a systematic interpretation of results often discovered in general descriptions of methods and techniques such as linear and non-linear regression. SPSS is also used in all the application aspects. The presentation of data in the form of tables and graphs throughout the book not only guides users, but also explains the statistical application and assists readers in interpreting important features. The analysis of statistical data is presented consistently throughout the text. Academic researchers, practitioners and other users who work with statistical data will benefit from reading Applied Statistics for Social and Management Sciences.
Author | : Ulrike Leopold-Wildburger |
Publisher | : Springer Science & Business Media |
Total Pages | : 572 |
Release | : 2003-02-24 |
Genre | : Business & Economics |
ISBN | : 9783540003878 |
This proceedings volume contains a selection of papers presented at the International Conference on Operations Research (SOR 2002).The contributions cover the broad interdisciplinary spectrum of Operations Research and present recent advances in theory, development of methods, and applications in practice. Subjects covered are Production, Logistics and Supply Chain Production, Marketing and Data Analysis, Transportation and Traffic, Scheduling and Project Management, Telecommunication and Information Technology, Energy and Environment, Public Economy, Health, Agriculture, Education, Banking, Finance, Insurance, Risk Management, Continuous Optimization, Discrete and Combinatorial Optimization, Stochastic and Dynamic Programming, Simulation, Control Theory, Systems Dynamics, Dynamic Games, Game Theory, Auctioning and Bidding, Experimental Economics, Econometrics, Statistics and Mathematical Economics, Fuzzy Logic, Multicriteria Decision Making, Decision Theory.
Author | : |
Publisher | : |
Total Pages | : 746 |
Release | : 1984 |
Genre | : |
ISBN | : |
Author | : Cheng Few Lee |
Publisher | : World Scientific |
Total Pages | : 5053 |
Release | : 2020-07-30 |
Genre | : Business & Economics |
ISBN | : 9811202400 |
This four-volume handbook covers important concepts and tools used in the fields of financial econometrics, mathematics, statistics, and machine learning. Econometric methods have been applied in asset pricing, corporate finance, international finance, options and futures, risk management, and in stress testing for financial institutions. This handbook discusses a variety of econometric methods, including single equation multiple regression, simultaneous equation regression, and panel data analysis, among others. It also covers statistical distributions, such as the binomial and log normal distributions, in light of their applications to portfolio theory and asset management in addition to their use in research regarding options and futures contracts.In both theory and methodology, we need to rely upon mathematics, which includes linear algebra, geometry, differential equations, Stochastic differential equation (Ito calculus), optimization, constrained optimization, and others. These forms of mathematics have been used to derive capital market line, security market line (capital asset pricing model), option pricing model, portfolio analysis, and others.In recent times, an increased importance has been given to computer technology in financial research. Different computer languages and programming techniques are important tools for empirical research in finance. Hence, simulation, machine learning, big data, and financial payments are explored in this handbook.Led by Distinguished Professor Cheng Few Lee from Rutgers University, this multi-volume work integrates theoretical, methodological, and practical issues based on his years of academic and industry experience.