This text shows students the usefulness of statistics in the context of real-business problems. Because the book combines an intuitive presentation with numerous pedagogical features, students quickly realize the power of statistics without getting lost in the theory. An early introduction to regression has been highly praised for its motivation. Shiffler and Adams have written an easy-to-read, well-motivated and useful text for business students.

Managing Information and Statistics examines one of the most challenging activities in organisations today, that of information management and its use for decision-making.

This work provides access to approximately 5,000 reviews of English-language mathematical books published in North America. Included are works on mathematics, science, philosophy, and education appearing in the periodical literature from 1800 to 1940. It covers materials not reviewed in Book Review Index and Book Review Digest. It predates Mathematical Reviews, which first appeared in 1940. Books on all aspects of mathematics are included. There are subject, reviewer, and title indexes.

Together, Big Data, high-performance computing, and complex environments create unprecedented opportunities for organizations to generate game-changing insights that are based on hard data. Business Analytics: An Introduction explains how to use business analytics to sort through an ever-increasing amount of data and improve the decision-making cap

This is an introductory textbook on global spectral modeling designed for senior-level undergraduates and possibly for first-year graduate students. This text starts with an introduction to elementary finite-difference methods and moves on towards the gradual description of sophisticated dynamical and physical models in spherical coordinates. Computational aspects of the spectral transform method, the planetary boundary layer physics, the physics of precipitation processes in large-scale models, the radiative transfer including effects of diagnostic clouds and diurnal cycle, the surface energy balance over land and ocean, and the treatment of mountains are some issues that are addressed. The topic of model initialization includes the treatment of normal modes and physical processes. A concluding chapter covers the spectral energetics as a diagnostic tool for model evaluation. This revised second edition of the text also includes three additional chapters. Chapter 11 deals with the formulation of a regional spectral model for mesoscale modeling which uses a double Fourier expansion of data and model equations for its transform. Chapter 12 deals with ensemble modeling. This is a new and important area for numerical weather and climate prediction. Finally, yet another new area that has to do with adaptive observational strategies is included as Chapter 13. It foretells where data deficiencies may reside in model from an exploratory ensemble run of experiments and the spread of such forecasts.

This book is a printed edition of the Special Issue "Sustainable Business Models" that was published in Sustainability

Linear regression with one predictor variable; Inferences in regression and correlation analysis; Diagnosticis and remedial measures; Simultaneous inferences and other topics in regression analysis; Matrix approach to simple linear regression analysis; Multiple linear regression; Nonlinear regression; Design and analysis of single-factor studies; Multi-factor studies; Specialized study designs.

InfoWorld is targeted to Senior IT professionals. Content is segmented into Channels and Topic Centers. InfoWorld also celebrates people, companies, and projects.