Simulation and Statistics with Excel : An Introduction to Business Students
Luis Fernando (UNET Tachira University, Venezuela) Ibarra
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Simulation and Statistics with Excel : An Introduction to Business Students
Luis Fernando (UNET Tachira University, Venezuela) Ibarra
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Financial Data Analytics with R : Monte-Carlo Validation
Jenny K. (Morgan Stanley, U.S.A) Chen
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Financial Data Analytics with R : Monte-Carlo Validation
Jenny K. (Morgan Stanley, U.S.A) Chen
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Social and Economic Statistics for Africa : Their Sources, Collection, Uses and Reliability
G.M.C. Kpedekpo
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Imperfect Perception and Stochastic Choice in Experiments
Pablo (Universidad Loyola Andalucia) Branas-Garza
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The Who, What, and Where of America : Understanding the American Community Survey
Shana Hertz Hattis
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County and City Extra 2023 : Annual Metro, City, and County Data Book
Shana Hertz Hattis
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Business Statistics of the United States 2023 : Patterns of Economic Change
Bernan Press
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Non-Experimental Data, Hypothesis Testing, and the Likelihood Principle : A Social Science Perspective
Tom Engsted
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Statistics for Economics, Accounting and Business Studies
Michael Barrow
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Efficiency and Productivity Analysis : Using Copulas in Stochastic Frontier Models
Artem (University of Sydney, Australia) Prokhorov
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Efficiency and Productivity Analysis : Using Copulas in Stochastic Frontier Models
Artem (University of Sydney, Australia) Prokhorov
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Categorical and Nonparametric Data Analysis : Choosing the Best Statistical Technique
E. Michael Nussbaum
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Categorical and Nonparametric Data Analysis : Choosing the Best Statistical Technique
E. Michael Nussbaum
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Introductory Econometrics : A Modern Approach
Jeffrey (Michigan State University) Wooldridge
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Statistics for Public Policy : A Practical Guide to Being Mostly Right (or at Least Respectably Wrong)
Jeremy G. Weber
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Stop Racing in a Blindfold! : Big Data + Pricing Science Drive Bigger Profits
Jim Vaughn
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Recurrence Interval Analysis of Financial Time Series
Wei-Xing (East China University of Science and Technology) Zhou
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Generalized Additive Models for Location, Scale and Shape : A Distributional Regression Approach, with Applications
Mikis D. (University of Greenwich) Stasinopoulos
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