Mustapha Akinkunmi
Introduction to Statistics Using R (eBook, PDF)
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Mustapha Akinkunmi
Introduction to Statistics Using R (eBook, PDF)
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Introduction to Statistics Using R is organized into 13 major chapters. Each chapter is broken down into many digestible subsections in order to explore the objectives of the book. There are many real-life practical examples in this book and each of the examples is written in R codes to acquaint the readers with some statistical methods while simultaneously learning R scripts.
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- Größe: 23.16MB
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Introduction to Statistics Using R is organized into 13 major chapters. Each chapter is broken down into many digestible subsections in order to explore the objectives of the book. There are many real-life practical examples in this book and each of the examples is written in R codes to acquaint the readers with some statistical methods while simultaneously learning R scripts.
Dieser Download kann aus rechtlichen Gründen nur mit Rechnungsadresse in A, B, BG, CY, CZ, D, DK, EW, E, FIN, F, GR, HR, H, IRL, I, LT, L, LR, M, NL, PL, P, R, S, SLO, SK ausgeliefert werden.
Produktdetails
- Produktdetails
- Verlag: Springer International Publishing
- Seitenzahl: 215
- Erscheinungstermin: 1. Juni 2022
- Englisch
- ISBN-13: 9783031024191
- Artikelnr.: 64122999
- Verlag: Springer International Publishing
- Seitenzahl: 215
- Erscheinungstermin: 1. Juni 2022
- Englisch
- ISBN-13: 9783031024191
- Artikelnr.: 64122999
- Herstellerkennzeichnung Die Herstellerinformationen sind derzeit nicht verfügbar.
Dr. Mustapha Akinkunmi is a Financial Economist and Technology Strategist. He has over 25 years of experience in estimation, planning, and forecasting using statistical and econometric methods, with particular expertise in risk, expected utility, discounting, binomial-tree valuation methods, financial econometrics models, Monte Carlo simulations, macroeconomics, and exchange rate modeling. Dr. Akinkunmi has performed extensive software development for quantitative analysis of capital markets, revenue and payment gateway, predictive analytics, data science, and credit risk management. He has a record of success in identifying and implementing change management programs and institutional development initiatives in both public and private sector organizations. He has been in high profile positions as a Consultant, Financial Advisor, Project Manager, and Business Strategist to AT&T, Salomon Brothers, Goldman Sachs, Phibro Energy, First Boston (Credit Suisse First Boston), World Bank, and Central Bank of Nigeria. He is an internationally recognized co-author (Introduction to Strategic Financial Management, May 2013) and leader in demand analysis, specializing in working with very large databases. Furthermore, he has conducted teaching and applied research in areas that include analyses of expenditure patterns, inflation and exchange rate modeling for Manhattan College, Riverdale, NY, Fordham University, New York, NY, University of Lagos, Lagos, Nigeria, State University of New York-FIT, New York, NY, Montclair State University, Montclair, NJ, and American University, Yola, Nigeria. In 1990, he founded Technology Solutions Incorporated (TSI) in New York, which focused on data science and software application development for clients including major financial services institutions. After ten years of successful operations and rapid growth under Dr. Akinkunmi's leadership, TSI was acquired by a publicly traded technology company based in the U.S. in a value-creating transaction. Dr. Akinkunmi was the former Honorable Commissioner for Finance, Lagos State, Nigeria. He is now an associate professor of finance and chair of the accounting and finance department at the American University of Nigeria, Yola, Nigeria.
Preface.- Introduction to Statistical Analysis.- Introduction to R Software.- Descriptive Data.- Basic Probability Concepts.- Discrete Probability Distributions.- Continuous Probability Distributions.- Other Continuous Probability Distributions.- Sampling and Sampling Distribution.- Confidence Intervals for Single Population Mean and Proportion.- Hypothesis Testing for Single Population Mean and Proportion.- Regression Analysis and Correlation.- Poisson Distribution.- Uniform Distributions.- References.- Author's Biography.
Preface.- Introduction to Statistical Analysis.- Introduction to R Software.- Descriptive Data.- Basic Probability Concepts.- Discrete Probability Distributions.- Continuous Probability Distributions.- Other Continuous Probability Distributions.- Sampling and Sampling Distribution.- Confidence Intervals for Single Population Mean and Proportion.- Hypothesis Testing for Single Population Mean and Proportion.- Regression Analysis and Correlation.- Poisson Distribution.- Uniform Distributions.- References.- Author's Biography.