This is a lively textbook providing a solid introduction to financial option valuation for undergraduate students armed with a working knowledge of a first year calculus. Written in a series of short chapters, its self-contained treatment gives equal weight to applied mathematics, stochastics and computational algorithms. No prior background in probability, statistics or numerical analysis is required. Detailed derivations of both the basic asset price model and the Black–Scholes equation are provided along with a presentation of appropriate computational techniques including binomial, finite differences and in particular, variance reduction techniques for the Monte Carlo method. Each chapter comes complete with accompanying stand-alone MATLAB code listing to illustrate a key idea. Furthermore, the author has made heavy use of figures and examples, and has included computations based on real stock market data.
A comprehensive account of both basic and advanced material in phylogeny estimation, focusing on computational and statistical issues. No background in biology or computer science is assumed, and there is minimal use of mathematical formulas, meaning that students from many disciplines, including biology, computer science, statistics, and applied mathematics, will find the text accessible. The mathematical and statistical foundations of phylogeny estimation are presented rigorously, following which more advanced material is covered. This includes substantial chapters on multi-locus phylogeny estimation, supertree methods, multiple sequence alignment techniques, and designing methods for large-scale phylogeny estimation. The author provides key analytical techniques to prove theoretical properties about methods, as well as addressing performance in practice for methods for estimating trees. Research problems requiring novel computational methods are also presented, so that graduate stud
Perfected over three editions and more than forty years, this field- and classroom-tested reference:* Uses the method of maximum likelihood to a large extent to ensure reasonable, and in some cases op
A complete set of statistical tools for beginning financial analysts from a leading authority Written by one of the leading experts on the topic, An Introduction to Analysis of Financial Data with R e
Engaging and accessible, this book teaches readers how to use inferential statistical thinking to check their assumptions, assess evidence about their beliefs, and avoid overinterpreting results that
The very word `statistics' is enough to induce panic or cynicism in most people's hearts. The necessity of studying statistics is often regarded by students as a test of endurance rather than an educa
FUNDAMENTALS OF ALGEBRAIC MODELING 6e presents Algebraic concepts in non-threatening, easy-to-understand language and numerous step-by-step examples to illustrate ideas. This text aims to help you rel
Engaging and accessible, this book teaches readers how to use inferential statistical thinking to check their assumptions, assess evidence about their beliefs, and avoid overinterpreting results that
Written by the leading expert in the field, this text reviews the major new developments in envelope models and methods An Introduction to Envelopes provides an overview of the theory and method
This text presents an overview of statistical methods within the context of the behavioral sciences. Emphasis is placed on explaining statistical procedures and interpreting results, with little discu
This book provides an introduction to elementary probability and to Bayesian mathematical statistics using de Finetti's subjectivistic approach. One of the features of this approach is that it does no
Why are poor countries poor and rich countries rich? How are wealth and poverty related to changes in health, life expectancy, education, population growth and politics? This non-technical introduction to development studies explores the dynamics of socio-economic development and stagnation in developing countries. Thoroughly updated and revised, this second edition includes new material on the effects of the 2008 financial crisis, the emergence of the BRICS economies, the role of institutions in development and the accelerated growth of economies in Africa and Asia. Taking a comparative approach, Szirmai places contemporary debates within their broader contexts and combines insights and theories from economics, economic history, political science, anthropology and sociology. Each chapter includes comparative statistics and time series for thirty-one developing countries. Assuming no prior knowledge of economics, this book is well-suited for students in interdisciplinary development st
Why are poor countries poor and rich countries rich? How are wealth and poverty related to changes in health, life expectancy, education, population growth and politics? This non-technical introduction to development studies explores the dynamics of socio-economic development and stagnation in developing countries. Thoroughly updated and revised, this second edition includes new material on the effects of the 2008 financial crisis, the emergence of the BRICS economies, the role of institutions in development and the accelerated growth of economies in Africa and Asia. Taking a comparative approach, Szirmai places contemporary debates within their broader contexts and combines insights and theories from economics, economic history, political science, anthropology and sociology. Each chapter includes comparative statistics and time series for thirty-one developing countries. Assuming no prior knowledge of economics, this book is well-suited for students in interdisciplinary development st
The theory of probability and mathematical statistics is becoming an indispensable discipline in many branches of science and engineering. This is caused by increasing significance of various uncertai
Starting out in Statistics aims to provide an accessible book on a topic that many students find difficult. It includes modern, up-to-date methodology and is illustrated throughout with current exampl
