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Analytics for Leaders provides a concise, readable account of a complete system of performance measurement for an enterprise. Based on over twenty years of research and development, the system is designed to provide people at all levels with the quantitative information they need to do their jobs: board members to exercise due diligence about all facets of the business, leaders to decide where to focus attention next, and people to carry out their work well. For senior officers, chapter openers provide quick overviews about the overall approach to a particular stakeholder group and how to connect overall performance measures to business impact. For MBA students, extensive supporting notes and references provide in-depth understanding. For researchers and practitioners, a generic statistical approach is described to encourage new ways of tackling performance measurement issues. The book is relevant to all types of enterprise, large or small, public or private, academic or governmental.

Management --- Business planning --- Performance. --- Organizational effectiveness. --- Organization --- Competence --- Work --- Business enterprises --- Business plans --- Corporate planning --- Corporate strategy --- Corporations --- Strategy, Corporate --- Planning --- Strategic planning --- Statistical methods. --- Business, Economy and Management --- Business Management

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Data measured as angles or two-dimensional orientations are found almost everywhere in science. They commonly arise in biology, geography, geophysics, medicine, meteorology and oceanography, and many other areas. Examples of such data include departure directions of birds from release points, fracture plane orientations, the directional movement of animals after stimulation, wind and ocean current directions, and biorhythms. Statistical methods for handling such data have developed rapidly in the last twenty years, particularly data display, correlation, regression and analysis of tempered or spatially structured data. Further, some of the exciting modern developments in general statistical methodology, particularly nonparametric smoothing methods and bootstrap-based methods, have contributed significantly to relatively intractable data analysis problems. This book provides a unified and up-to-date account of techniques for handling circular data.

Mathematical statistics. --- Circular data.

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Mathematical statistics --- Spherical data --- Statistique mathématique --- Wiskundige statistiek --- Data, Spherical --- Spherical data. --- 519.237 --- Statistics --- Mathematics --- Statistical inference --- Statistics, Mathematical --- Probabilities --- Sampling (Statistics) --- 519.237 Multivariate statistical methods --- Multivariate statistical methods --- Statistical methods --- Mathematical statistics. --- Statistique mathématique --- Analyse statistique --- Statistique mathematique --- Analyse multivariee

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This is the first comprehensive, yet clearly presented, account of statistical methods for analysing spherical data. The analysis of data, in the form of directions in space or of positions of points on a spherical surface, is required in many contexts in the earth sciences, astrophysics and other fields, yet the methodology required is disseminated throughout the literature. Statistical Analysis of Spherical Data aims to present a unified and up-to-date account of these methods for practical use. The emphasis is on applications rather than theory, with the statistical methods being illustrated throughout the book by data examples.

Mathematical statistics. --- Spherical data.