University of Bath

About: University of Bath is a education organization based out in Bath, Bath and North East Somerset, United Kingdom. It is known for research contribution in the topics: Population & Context (language use). The organization has 15830 authors who have published 39608 publications receiving 1358769 citations. The organization is also known as: Bath University.

Competitive groups as cognitive communities: the case of scottish knitwear manufacturers*

Abstract: This article explores how the mental models of organizational strategists determine perceptions of competing organizations and responses to competitive conditions. We first outline a cognitive perspective for discussing competitive strategy, and then use this framework to analyse the particular case of the Scottish knitwear industry. We show how the structure of that industry both determines and is determined by managerial perceptions of the environment. We conclude by drawing out a few general implications of our framework for research and theory on competitive strategy.

Photonic Band Gap Guidance in Optical Fibers

Abstract: A fundamentally different type of optical waveguide structure is demonstrated, in which light is confined to the vicinity of a low-index region by a two-dimensional photonic band gap crystal. The waveguide consists of an extra air hole in an otherwise regular honeycomb pattern of holes running down the length of a fine silica glass fiber. Optical fibers based on this waveguide mechanism support guided modes with extraordinary properties.

Extending the Linear Model with R: Generalized Linear, Mixed Effects and Nonparametric Regression Models

Abstract: Start Analyzing a Wide Range of Problems Since the publication of the bestselling, highly recommended first edition, R has considerably expanded both in popularity and in the number of packages available. Extending the Linear Model with R: Generalized Linear, Mixed Effects and Nonparametric Regression Models, Second Edition takes advantage of the greater functionality now available in R and substantially revises and adds several topics. New to the Second Edition Expanded coverage of binary and binomial responses, including proportion responses, quasibinomial and beta regression, and applied considerations regarding these models New sections on Poisson models with dispersion, zero inflated count models, linear discriminant analysis, and sandwich and robust estimation for generalized linear models (GLMs) Revised chapters on random effects and repeated measures that reflect changes in the lme4 package and show how to perform hypothesis testing for the models using other methods New chapter on the Bayesian analysis of mixed effect models that illustrates the use of STAN and presents the approximation method of INLA Revised chapter on generalized linear mixed models to reflect the much richer choice of fitting software now available Updated coverage of splines and confidence bands in the chapter on nonparametric regression New material on random forests for regression and classification Revamped R code throughout, particularly the many plots using the ggplot2 package Revised and expanded exercises with solutions now included Demonstrates the Interplay of Theory and Practice This textbook continues to cover a range of techniques that grow from the linear regression model. It presents three extensions to the linear framework: GLMs, mixed effect models, and nonparametric regression models. The book explains data analysis using real examples and includes all the R commands necessary to reproduce the analyses.

Choice, Welfare and Measurement

Abstract: In the course of his distinguished career, Amartya K. Sen has scrutinized the foundations of economic theory and analysis. He has brought into sharper focus such concepts as choice, preference, rationality, aggregation, evaluation, and measurement, and applied these concepts to the economic issues underlying universal social concerns, among them inequality, unemployment, poverty, human welfare, liberty, rights, justice. The twenty essays in this book encompass both these aspects of Sen's economic endeavors.Kenneth Arrow has written that "Sen's mastery in the fields of social choice, the foundations of welfare economics, and, more broadly, distributive ethics and the measurement problems associated with these fields is unquestioned. The selection of articles fully reflects his work in this area ... a number of the papers are already classics."The author has provided a substantial introduction to the book that interrelates his diverse concerns and analyzes the wide-ranging discussions that were generated by the original papers, while stressing the central concepts and underlying issues.His writings are distributed among five topical sections: Choice and Preference, Preference Aggregation, Welfare Comparisons and Social Choice, Non-utility Information, and Social Measurement. The contributions have been collected from many journals in the fields of economics and public affairs and from books that were published between 1966 and 1980.Amartya K. Sen is Drummond Professor of Political Economy at Oxford, and Fellow of All Souls College.