Hardback
Published July 2, 2018
Reference - 536 Pages
ISBN 9781498768580 - CAT# K29253
Series: Chapman & Hall/CRC Handbooks of Modern Statistical Methods
Handbook of Statistical Methods for Case-Control Studies is written by leading researchers in the field. It provides an in-depth treatment of up-to-date and currently developing statistical methods for the design and analysis of case-control studies, as well as a review of classical principles and methods. The handbook is designed to serve as a reference text for biostatisticians and quantitatively-oriented epidemiologists who are working on the design and analysis of case-control studies or on related statistical methods research. Though not specifically intended as a textbook, it may also be used as a backup reference text for graduate level courses.
Classical designs and causal inference, measurement error, power, and small-sample inference
Designs that use full-cohort information
Time-to-event data
Genetic epidemiology
Paperback
Hardback
Published October 8, 2018
Textbook - 230 Pages
ISBN 9781138484030 - CAT# K349180
Series: Chapman & Hall/CRC The R Series
Reproducible Finance with R: Code Flows and Shiny Apps for Portfolio Analysis is a unique introduction to data science for investment management that explores the three major R/finance coding paradigms, emphasizes data visualization, and explains how to build a cohesive suite of functioning Shiny applications. The full source code, asset price data and live Shiny applications are available at reproduciblefinance.com. The ideal reader works in finance or wants to work in finance and has a desire to learn R code and Shiny through simple, yet practical real-world examples.
The book begins with the first step in data science: importing and wrangling data, which in the investment context means importing asset prices, converting to returns, and constructing a portfolio. The next section covers risk and tackles descriptive statistics such as standard deviation, skewness, kurtosis, and their rolling histories. The third section focuses on portfolio theory, analyzing the Sharpe Ratio, CAPM, and Fama French models. The book concludes with applications for finding individual asset contribution to risk and for running Monte Carlo simulations. For each of these tasks, the three major coding paradigms are explored and the work is wrapped into interactive Shiny dashboards.
Hardback
December 3, 2018 Forthcoming
Textbook - 234 Pages - 81 B/W Illustrations
ISBN 9780815386643 - CAT# K345077
Soft cover
SBN 9780815386650 - CAT# K345078
A First Course in Logic is an introduction to first-order logic suitable for first and second year mathematicians and computer scientists. There are three components to this course: propositional logic; Boolean algebras; and predicate/first-order, logic. Logic is the basis of proofs in mathematics ? how do we know what we say is true? ? and also of computer science ? how do I know this program will do what I think it will?
Surprisingly little mathematics is needed to learn and understand logic (this course doesn't involve any calculus). The real mathematical prerequisite is an ability to manipulate symbols: in other words, basic algebra. Anyone who can write programs should have this ability.
1. Propositional logic. 2. Boolean algebras. 3. First-order logic
Hardback
November 27, 2018 Forthcoming
Reference - 536 Pages - 87 B/W Illustrations
ISBN 9781498763813 - CAT# K28989
Series: Chapman & Hall/CRC Handbooks of Modern Statistical Methods
Mixture analysis is very active research topic in statistics and machine learning. It is a good timing for a Handbook to present a broad overview of the methods and applications, suitable for graduate students and young researchers new to the field. This Handbook is divided into two main parts; the first part covers all the methods, with illustrative examples and guidance on computing where appropriate; and the second part includes some more advanced methodological topics, and a series of case studies presenting applications of mixture analysis in a number of fields, including genomics, medicine, economics, finance and more.
Provides a broad and comprehensive overview of the methods and applications of mixture analysis.
Divided into two main parts, covering methods, and extensions and applications.
Covers machine learning, Bayesian inference, EM algorithm, nonparametrics, model-based clustering, and more.
Includes case studies presenting applications in genomics, medicine, economics, finance, marketing, and more.
Written so as to be suitable for graduate students and new researchers looking for an overview of the field.
Paperback
Hardback
Chapman and Hall/CRC
November 30, 2018 Forthcoming
Reference - 226 Pages - 107 B/W Illustrations
ISBN 9781138590519 - CAT# K386762
Pencils of Cubics and Algebraic Curves in the Real Projective Plane thoroughly examines the combinatorial configurations of n generic points in RP2. Especially how it is the data describing the mutual position of each point with respect to lines and conics passing through others.
The first section in this book answers questions such as, can one count the combinatorial configurations up to the action of the symmetric group? How are they pairwise connected via almost generic configurations? These questions are addressed using rational cubics and pencils of cubics for n = 6 and 7. The book’s second section deals with configurations of eight points in the convex position. Both the combinatorial configurations and combinatorial pencils are classified up to the action of the dihedral group D8. Finally, the third section contains plentiful applications and results around Hilbert’s sixteenth problem.
The author meticulously wrote this book based upon years of research devoted to the topic. The book is particularly useful for researchers and graduate students interested in topology, algebraic geometry and combinatorics.
Examines how the shape of pencils depends on the corresponding configurations of points
Includes topology of real algebraic curves
Contains numerous applications and results around Hilbert’s sixteenth problem
Hardback
December 10, 2018 Forthcoming
Reference - 582 Pages - 11 Color & 26 B/W Illustrations
ISBN 9781138601000 - CAT# K387945
Nonlinear Systems and Their Remarkable Mathematical Structures aims to describe the recent progress in nonlinear differential equations and nonlinear dynamical systems (both continuous and discrete). Written by experts, each chapter is self-contained and aims to clearly illustrate some of the mathematical theories of nonlinear systems. The book should be suitable for some graduate and postgraduate students in mathematics, the natural sciences, and engineering sciences, as well as for researchers (both pure and applied) interested in nonlinear systems. The common theme throughout the book is on solvable and integrable nonlinear systems of equations and methods/theories that can be applied to analyze those systems. Some applications are also discussed.
Features
Collects contributions on recent advances in the subject of nonlinear systems
Aims to make the advanced mathematical methods accessible to the non-expert in this field
Written to be accessible to some graduate and postgraduate students in mathematics and applied mathematics
Serves as a literature source in nonlinear systems