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Modern Data Science with R

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Benjamin S. Baumer, Daniel T. Kaplan, Nicholas J. Horton
February 2, 2017

Modern Data Science with R is a comprehensive data science textbook for undergraduates that incorporates statistical and computational thinking to solve real-world problems with data. Rather than focus exclusively on case studies or programming syntax, this book illustrates how statistical programmi...

Algorithms for Next-Generation Sequencing

Wing-Kin Sung
May 15, 2017

Advances in sequencing technology have allowed scientists to study the human genome in greater depth and on a larger scale than ever before – as many as hundreds of millions of short reads in the course of a few days. But what are the best ways to deal with this flood of data? Algorithms for...

Introduction to Financial Models for Management and Planning, Second Edition

James R. Morris, John P. Daley
May 15, 2017

A properly structured financial model can provide decision makers with a powerful planning tool that helps them identify the consequences of their decisions before they are put into practice. Introduction to Financial Models for Management and Planning, Second Edition enables professionals and...

An Introduction to Excel VBA Programming: with Applications in Finance and Insurance

Guojun Gan
April 07, 2017

Excel Visual Basic for Applications (VBA) can be used to automate operations in Excel and is one of the most frequently used software programs for manipulating data and building models in banks and insurance companies. An Introduction to Excel VBA Programming: with Applications in Finance and...

Modern Data Science with R

Benjamin S. Baumer, Daniel T. Kaplan, Nicholas J. Horton
February 02, 2017

Modern Data Science with R is a comprehensive data science textbook for undergraduates that incorporates statistical and computational thinking to solve real-world problems with data. Rather than focus exclusively on case studies or programming syntax, this book illustrates how statistical...

Statistical Modeling and Machine Learning for Molecular Biology

Alan Moses
January 04, 2017

Molecular biologists are performing increasingly large and complicated experiments, but often have little background in data analysis. The book is devoted to teaching the statistical and computational techniques molecular biologists need to analyze their data. It explains the big-picture concepts...

Statistics for Engineering and the Sciences, Sixth Edition, Textbook and Student Solutions Manual

William M. Mendenhall, Terry L. Sincich
December 31, 2016

This text is designed for a two-semester introductory course in statistics for students majoring in engineering or any of the physical sciences. Inevitably, once these students graduate and are employed, they will be involved in the collection and analysis of data and will be required to think...

C++ for Financial Mathematics

John Armstrong
December 21, 2016

If you know a little bit about financial mathematics but don’t yet know a lot about programming, then C++ for Financial Mathematics is for you. C++ is an essential skill for many jobs in quantitative finance, but learning it can be a daunting prospect. This book gathers together everything you need...

Applied Time Series Analysis with R, Second Edition

Wayne A. Woodward, Henry L. Gray, Alan C. Elliott
December 20, 2016

Virtually any random process developing chronologically can be viewed as a time series. In economics closing prices of stocks, the cost of money, the jobless rate, and retail sales are just a few examples of many. Developed from course notes and extensively classroom-tested, Applied Time Series...

Stochastic Processes: From Applications to Theory

Pierre Del Moral, Spiridon Penev
December 19, 2016

Unlike traditional books presenting stochastic processes in an academic way, this book includes concrete applications that students will find interesting such as gambling, finance, physics, signal processing, statistics, fractals, and biology. Written with an important illustrated guide in the...

Quantitative Trading: Algorithms, Analytics, Data, Models, Optimization

Xin Guo, Tze Leung Lai, Howard Shek, Samuel Po-Shing Wong
December 15, 2016

The first part of this book discusses institutions and mechanisms of algorithmic trading, market microstructure, high-frequency data and stylized facts, time and event aggregation, order book dynamics, trading strategies and algorithms, transaction costs, market impact and execution strategies,...

A Concise Introduction to Statistical Inference

Jacco Thijssen
December 15, 2016

This short book introduces the main ideas of statistical inference in a way that is both user friendly and mathematically sound. Particular emphasis is placed on the common foundation of many models used in practice. In addition, the book focuses on the formulation of appropriate statistical models...

Elementary Probability with Applications, Second Edition

Larry Rabinowitz
December 13, 2016

Elementary Probability with Applications, Second Edition shows students how probability has practical uses in many different fields, such as business, politics, and sports. In the book, students learn about probability concepts from real-world examples rather than theory. The text explains how...

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