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Introduction to Statistics Using R

Buch | Softcover
235 Seiten
2019
Morgan & Claypool Publishers (Verlag)
978-1-68173-509-2 (ISBN)
CHF 149,95 inkl. MwSt
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Organised into 13 chapters, each of which is broken down into digestible subsections in order to explore the objectives of the book. There are many real-life practical examples and each of the examples is written in R codes to acquaint readers with some statistical methods while simultaneously learning R scripts.
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.

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

Erscheinungsdatum
Reihe/Serie Synthesis Lectures on Mathematics and Statistics
Mitarbeit Herausgeber (Serie): Steven G. Krantz
Verlagsort San Rafael
Sprache englisch
Maße 191 x 235 mm
Themenwelt Mathematik / Informatik Informatik Theorie / Studium
Mathematik / Informatik Mathematik Analysis
Mathematik / Informatik Mathematik Angewandte Mathematik
Mathematik / Informatik Mathematik Statistik
ISBN-10 1-68173-509-1 / 1681735091
ISBN-13 978-1-68173-509-2 / 9781681735092
Zustand Neuware
Informationen gemäß Produktsicherheitsverordnung (GPSR)
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