This comprehensive text provides students with a solid foundation in international marketing theory, research, and practice.Fully updated throughout, the book covers all the latest trends and topics, including e-commerce, digitalization, corporate sustainability, business ethics, corporate social responsibility, cryptocurrency, and the broader political and economic context. New international case studies and mini-cases from the US, Europe, China and Japan are incorporated, alongsi...

Risk management for financial institutions is one of the key topics the financial industry has to deal with. The present volume is a mathematically rigorous text on solvency modeling. Currently, there are many new developments in this area in the financial and insurance industry (Basel III and Solvency II), but none of these developments provides a fully consistent and comprehensive framework for the analysis of solvency questions. Merz and Wüthrich combine ideas from financial mathematics...

Sick of hustle gurus bragging about 4-a.m. alarms while you’re guzzling coffee and wondering why you still feel wrecked by noon? The 8 A.M. Club flips the script - and backs it with real sleep science.In one commute-length listen you’ll discover:Why “rise-and-grind” is killing your focus – the data on social jet-lag, hormone crashes, and 14 percent slower cognition when you shave an hour off sleep.The 8 A.M. Morning Blueprint – a two-hour routine th...

"I loved this book and can't stop talking about it. . . . Transcendent." —Carolyn See, The Washington PostIn the tradition of Balzac and the Little Chinese Seamstress, Wang Gang's English is a captivating coming-of-age novel about the power of language to launch a journey of self-discovery. When a new teacher—a tall, elegantly dressed man from Shanghai carrying an English dictionary under his arm—comes to Urumqi, the cap...

This open access book discusses the statistical modeling of insurance problems, a process which comprises data collection, data analysis and statistical model building to forecast insured events that may happen in the future. It presents the mathematical foundations behind these fundamental statistical concepts and how they can be applied in daily actuarial practice.Statistical modeling has a wide range of applications, and, depending on the application, the theoretical aspects may...

This one-of-a-kind collection of chapters takes the reader on a tour to explore innovative practices from classrooms, schools, districts, communities, and faraway places in the world. Each of the chapters-organized under six headings-tells an authentic, compelling story of a pioneering and successful initiative that breaks the traditional mold of instructional delivery and time-honored school organization. Breaking the Mold of School Instruction and Organization guides readers thr...

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 biology to finance to marketing to astrophysics in the past twenty years. This book presents some of the most important modeling and prediction techniques, along with relevant applications. Topics include linear regression, classification, resampling met...

An introduction to statistical data mining, Data Analysis and Data Mining is both textbook and professional resource. Assuming only a basic knowledge of statistical reasoning, it presents core concepts in data mining and exploratory statistical models to students and professional statisticians-both those working in communications and those working in a technological or scientific capacity-who have a limited knowledge of data mining. This book presents key statistical concepts by w...

The field's leading text, now completely updated.Modeling dynamical systems — theory, methodology, and applications.Lennart Ljung's System Identification: Theory for the User is a complete, coherent description of the theory, methodology, and practice of System Identification. This completely revised Second Edition introduces subspace methods, methods that utilize frequency domain data, and general non-linear black box methods, including neural networks and neuro-f...

A substantially revised fourth edition of a comprehensive textbook, including new coverage of recent advances in deep learning and neural networks.The goal of machine learning is to program computers to use example data or past experience to solve a given problem. Machine learning underlies such exciting new technologies as self-driving cars, speech recognition, and translation applications. This substantially revised fourth edition of a comprehensive, widely used ...

Praise for the Second Edition"This book is a systematic, well-written, well-organized text on multivariate analysis packed with intuition and insight . . . There is much practical wisdom in this book that is hard to find elsewhere."-IIE TransactionsFilled with new and timely content, Methods of Multivariate Analysis, Third Edition provides examples and exercises based on more than sixty real data sets from ...

The first edition of this book has established itself as one of the leading references on generalized additive models (GAMs), and the only book on the topic to be introductory in nature with a wealth of practical examples and software implementation. It is self-contained, providing the necessary background in linear models, linear mixed models, and generalized linear models (GLMs), before presenting a balanced treatment of the theory and applications of GAMs and related models.The ...