Business analytics has grown to be a key topic in business curricula, and there is a need for stronger quantitative skills and understanding of fundamental concepts. This book is intended to present key concepts related to quantitative analysis in business. It is targeted to business students, undergraduate and graduate, taking an introductory core course. Topics covered include knowledge management, visualization, sampling and hypothesis testing, regression (simple, multiple, and logistic), as well as optimization modeling. It concludes with a brief overview of data mining. Concepts are demonstrated with worked examples.

This report examines the top 25 providers of temperature-controlled logistics services in the United Kingdom and Ireland. Temperature controlled logistics is a highly specialised sector that includes transport, distribution and storage of fresh and manufactured food, pharmaceutical products and other temperature-sensitive other goods. The report ranks the top 25 logistics providers and also includes assessments by the chief executives of the major players of the challenges they expect the industry to face in 2014. The tables show financial performance by turnover for the past three years, the fleet size by vehicle number and type, as well as the storage capacity of each company. The data, collated by Global Cold Chain News, has been gathered by telephone, e-mail communications, and from published official sources. The report is prepared by Global Cold Chain News website and its print edition, Cold Chain News, the UK's leading business-to-business magazine read by owners, directors and senior managers working for companies operating commercial vehicle fleets used for temperature-controlled transport.

Dieses essential befasst sich mit der einfachen linearen Regression, der simpelsten Form von Regressionsmodellen, in der fur die Modellbildung nur eine einzige Einflussvariable berucksichtigt wird. Leser finden in diesem Buch die Methode der kleinsten Quadrate zur Schatzung der Modellparameter, Residualanalysen zur UEberprufung der Modellannahmen sowie weitere statistische Verfahren zur Beurteilung des Modells. Zudem erfahren sie, wie das Modell als ein Prognoseinstrument eingesetzt werden kann. Somit erwerben Leser eine solide Grundlage zum Verstandnis komplexer Regressionsansatze, bei denen mehrere Variablen die Zielgroesse beeinflussen und nichtlineare Zusammenhange vorliegen.

Introduction to Functional Data Analysis provides a concise textbook introduction to the field. It explains how to analyze functional data, both at exploratory and inferential levels. It also provides a systematic and accessible exposition of the methodology and the required mathematical framework. The book can be used as textbook for a semester-long course on FDA for advanced undergraduate or MS statistics majors, as well as for MS and PhD students in other disciplines, including applied mathematics, environmental science, public health, medical research, geophysical sciences and economics. It can also be used for self-study and as a reference for researchers in those fields who wish to acquire solid understanding of FDA methodology and practical guidance for its implementation. Each chapter contains plentiful examples of relevant R code and theoretical and data analytic problems. The material of the book can be roughly divided into four parts of approximately equal length: 1) basic concepts and techniques of FDA, 2) functional regression models, 3) sparse and dependent functional data, and 4) introduction to the Hilbert space framework of FDA. The book assumes advanced undergraduate background in calculus, linear algebra, distributional probability theory, foundations of statistical inference, and some familiarity with R programming. Other required statistics background is provided in scalar settings before the related functional concepts are developed. Most chapters end with references to more advanced research for those who wish to gain a more in-depth understanding of a specific topic.