English resources: Recent submissions
Now showing items 181-200 of 6813
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Guide to Discrete Mathematics: An Accessible Introduction to the History, Theory, Logic and Applications
(Springer, 2016)This stimulating textbook/reference presents a broad and accessible guide to the fundamentals of discrete mathematics, highlighting how the techniques may be applied to various exciting areas in computing. The text is ... -
Statistical Analysis of Clinical Data on a Pocket Calculator: Statistics on a Pocket Calculator
(Springer, 2011)The core principles of statistical analysis are too easily forgotten in today’s world of powerful computers and time-saving algorithms. This step-by-step primer takes researchers who lack the confidence to conduct their ... -
Clinical Data Analysis on a Pocket Calculator: Understanding the Scientific Methods of Statistical Reasoning and Hypothesis Testing
(Springer, 2016)In everyone's life the day comes that medical and health care has the highest priority. It is unbelievable, that a field, so important, uses the scientific method so little. The current book is helpful for implementation ... -
Statistics and Data Analysis for Financial Engineering: with R examples (2 ed.)
(Springer, 2015)The new edition of this influential textbook, geared towards graduate or advanced undergraduate students, teaches the statistics necessary for financial engineering. In doing so, it illustrates concepts using financial ... -
Stochastic Processes and Calculus: An Elementary Introduction with Applications
(Springer, 2016)This textbook gives a comprehensive introduction to stochastic processes and calculus in the fields of finance and economics, more specifically mathematical finance and time series econometrics. Over the past decades ... -
Analysis for Computer Scientists: Foundations, Methods, and Algorithms (2 ed.)
(Springer, 2018)This easy-to-follow textbook/reference presents a concise introduction to mathematical analysis from an algorithmic point of view, with a particular focus on applications of analysis and aspects of mathematical modelling. ... -
Introduction to Statistics and Data Analysis: With Exercises, Solutions and Applications in R
(Springer, 2016)This introductory statistics textbook conveys the essential concepts and tools needed to develop and nurture statistical thinking. It presents descriptive, inductive and explorative statistical methods and guides the reader ... -
LaTeX in 24 Hours: A Practical Guide for Scientific Writing
(Springer, 2017)This book presents direct and concise explanations and examples to many LaTeX syntax and structures, allowing students and researchers to quickly understand the basics that are required for writing and preparing book ... -
Applied Linear Algebra (2 ed.)
(Springer, 2018)This textbook develops the essential tools of linear algebra, with the goal of imparting technique alongside contextual understanding. Applications go hand-in-hand with theory, each reinforcing and explaining the other. ... -
Linear Algebra and Analytic Geometry for Physical Sciences
(Springer, 2018)A self-contained introduction to finite dimensional vector spaces, matrices, systems of linear equations, spectral analysis on euclidean and hermitian spaces, affine euclidean geometry, quadratic forms and conic sections. ... -
A Modern Introduction to Probability and Statistics: Understanding Why and How
(Springer, 2005)Probability and Statistics are studied by most science students, usually as a second- or third-year course. Many current texts in the area are just cookbooks and, as a result, students do not know why they perform the ... -
Regression Modeling Strategies: With Applications to Linear Models, Logistic and Ordinal Regression, and Survival Analysis ( 2 ed.)
(Springer, 2015)This highly anticipated second edition features new chapters and sections, 225 new references, and comprehensive R software. In keeping with the previous edition, this book is about the art and science of data analysis and ... -
Applied Partial Differential Equations (3 ed.)
(Springer, 2015)This text presents the standard material usually covered in a one-semester, undergraduate course on boundary value problems and PDEs. Emphasis is placed on motivation, concepts, methods, and interpretation, rather than ... -
Methods of Mathematical Modelling: Continuous Systems and Differential Equations
(Springer, 2015)This book presents mathematical modelling and the integrated process of formulating sets of equations to describe real-world problems. It describes methods for obtaining solutions of challenging differential equations ... -
Statistical Learning from a Regression Perspective (2 ed.)
(Springer, 2016)This textbook considers statistical learning applications when interest centers on the conditional distribution of the response variable, given a set of predictors, and when it is important to characterize how the predictors ... -
Understanding Statistics Using R
(Springer, 2013)This book was written to provide resource materials for teachers to use in their introductory or intermediate statistics class. The chapter content is ordered along the lines of many popular statistics books so it should ... -
An Introduction to Statistical Learning: with Applications in R
(Springer, 2013)An Introduction to Statistical Learning provides an accessible overview of the field of statistical learning, an essential toolset for making sense of the vast and complex data sets that have emerged in fields ranging from ... -
Linear Algebra
(Springer, 2015)This self-contained textbook takes a matrix-oriented approach to linear algebra and presents a complete theory, including all details and proofs, culminating in the Jordan canonical form and its proof. Throughout the ... -
Linear Algebra Done Right (3 ed.)
(Springer, 2015)This best-selling textbook for a second course in linear algebra is aimed at undergrad math majors and graduate students. The novel approach taken here banishes determinants to the end of the book. The text focuses on the ... -
Understanding Analysis (2 ed.)
(Springer, 2015)This lively introductory text exposes the student to the rewards of a rigorous study of functions of a real variable. In each chapter, informal discussions of questions that give analysis its inherent fascination are ...
