English resources: Recent submissions
Now showing items 421-440 of 7047
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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 ... -
Statistics and Analysis of Scientific Data (2 ed.)
(Springer, 2017)The revised second edition of this textbook provides the reader with a solid foundation in probability theory and statistics as applied to the physical sciences, engineering and related fields. It covers a broad range of ... -
Introduction to Time Series and Forecasting (3 ed.)
(Springer, 2016)This book is aimed at the reader who wishes to gain a working knowledge of time series and forecasting methods as applied to economics, engineering and the natural and social sciences. It assumes knowledge only of basic ... -
Multivariate Calculus and Geometry (3 ed.)
(Springer, 2014)Multivariate calculus can be understood best by combining geometric insight, intuitive arguments, detailed explanations and mathematical reasoning. This textbook has successfully followed this programme. It additionally ... -
Data Analysis: Statistical and Computational Methods for Scientists and Engineers (4ed.)
(Springer, 2014)The fourth edition of this successful textbook presents a comprehensive introduction to statistical and numerical methods for the evaluation of empirical and experimental data. Equal weight is given to statistical theory ... -
Principles of Data Mining (3 ed.)
(Springer, 2016)This book explains and explores the principal techniques of Data Mining, the automatic extraction of implicit and potentially useful information from data, which is increasingly used in commercial, scientific and other ... -
Data Structures and Algorithms with Python
(Springer, 2015)This clearly structured and easy to read textbook explains the concepts and techniques required to write programs that can handle large amounts of data efficiently. Project-oriented and classroom-tested, the book presents ...
