IBM SPSS Statistics 23 Step by Step: A Simple Guide and Reference, 14e, takes a straightforward, step-by-step approach that makes SPSS software clear to beginners and experienced researchers alike.

Practical Time Series Forecasting with R: A Hands-On Guide, Second Edition provides an applied approach to time-series forecasting. Forecasting is an essential component of predictive analytics. The book introduces popular forecasting methods and approaches used in a variety of business applications.

The book offers clear explanations, practical examples, and end-of-chapter exercises and cases. Readers will learn to use forecasting methods using the free open-source R software to develop effective forecasting solutions that extract business value from time-series data.

Featuring improved organization and new material, the Second Edition also includes:

Popular forecasting methods including smoothing algorithms, regression models, and neural networks

A practical approach to evaluating the performance of forecasting solutions

A business-analytics exposition focused on linking time-series forecasting to business goals

Guided cases for integrating the acquired knowledge using real data* End-of-chapter problems to facilitate active learning

A companion site with data sets, R code, learning resources, and instructor materials (solutions to exercises, case studies)

Globally-available textbook, available in both softcover and Kindle formats

Practical Time Series Forecasting with R: A Hands-On Guide, Second Edition is the perfect textbook for upper-undergraduate, graduate and MBA-level courses as well as professional programs in data science and business analytics. The book is also designed for practitioners in the fields of operations research, supply chain management, marketing, economics, finance and management.

This book is designed for use as a supplement to all current standard texts or as a textbook for a formal course on Probability and Statistics. It should also be of considerable value to those taking courses in mathematics, management, commerce, or any of the numerous other fields in which Probability and statistical methods are employed.

Paul Glendinning is Professor of Applied Mathematics at the University of Manchester. He was founding Head of School for Mathematics at the combined University of Manchester and has published over fifty academic articles and an undergraduate textbook on chaos theory.

Both simple and accessible, Maths in Minutes is a visually led introduction to 200 key mathematical concepts. Each concept is described by means of an easy-to-understand illustration and a compact, 200-word explanation. Concepts span all of the key areas of mathematics, including Fundamentals of Mathematics, Sets and Numbers, Geometry, Equations, Limits, Functions and Calculus, Vectors and Algebra, Complex Numbers, Combinatorics, Number Theory, and more.

Build confidence for the Cambridge syllabus for final examination in 2019 with the trusted and rigorous approach of Complete Mathematics. Written by renowned author David Rayner, the practice-based approach ensures top Cambridge IGCCE results.

This edition is fully aligned to the Cambridge syllabus for final examination in 2019, with new chapters on Compound Interest Formulas and Perpendicular Lines. In addition to a wealth of practice, it includes clear explanations and worked examples to embed the strong understanding required for the step up to further study. A new edition for the latest Cambridge syllabus, for examination from 2020, will be available in 2018.