Best Selling Books by William Gould

The 1947 Partition had a major impact on issues of citizenship and rights in India and Pakistan in the decades that followed. Boundaries of Belonging shows how citizenship evolves at a time of political transition and what this meant for ordinary people, by directing attention away from South Asia''s Partition ''hotspots'' - Bengal and Punjab - to Partition''s ''hinterlands'' of Uttar Pradesh and Sindh. The analysis, based on rich archival research and fieldwork, brings out commonalities, differences, and the mutual co-construction of the ''citizen'' in both places. It also reveals the way in which developments across the border, such as communal violence, could directly impact on minority rights in its neighbour. Questioning stereotypes of an increasingly ''authoritarian'' Pakistan and ''democratic'' India, Sarah Ansari and William Gould make a major contribution to recent scholarship that suggests the differences between India and Pakistan are overstated.

This is one of the first single-author comparisons of different South Asian states around the theme of religious conflict. Based on new research and syntheses of the literature on ''communalism'', it argues that religious conflict in this region in the modern period was never simply based on sectarian or theological differences or the clash of civilizations. Instead, the book proposes that the connection between religious radicalism and everyday violence relates to the actual (and perceived) weaknesses of political and state structures. For some, religious and ethnic mobilisation has provided a means of protest, where representative institutions failed. For others, it became a method of dealing with an uncertain political and economic future. For many it has no concrete or deliberate function, but has effectively upheld social stability, paternalism and local power, in the face of globalisation and the growing aspirations of the region''s most underprivileged citizens.

Using letters and testimonials from correspondents outside the United States and his own personal journal writings, Raymond recounts his life experiences as a brother, a spiritual advisor, a military chaplain, an elder, and a faith healer. Presents chapter and verse with deep faith and servitude to God as its underlying theme.

Introduces basic business concepts, principles, and practices by focusing on Apple Computer, Inc., its background, growth, and success.

In 1961, Harold Binder''s dad, Otto, did the unthinkable: defying convention, he abandoned his wife and six-year-old son to go west and take up the life of a cowboy. Now a forty-eight-year-old, successful doctor of medicine, Harold still longs to know his father and yearns to find the real Otto to replace the fantasy figure he''s created in his mind. But as he discovers the bizarre facts of Otto''s existence, personal issues derail Harold''s search. Rejected by his wife Joyce, who has recently learned that he has been having an affair with one of his patients, Harold now lives in a tent on the empty lot across the road from his home on the San Francisco peninsula. During this unsettled time, he gets to know Mario Vogelsang, a friend of his mother''s with an unnerving interest in Harold''s life. Before long, Harold realizes that coming to terms with the past, no matter what it reveals, may be the only way to come to grips with the present. A Little Score to Settle is the story of Harold Binder''s lifelong obsession to uncover what became of his enigmatic father and to find clarity-a clarity that he hopes will spread to all aspects of his life, where once was only shadow and delusion.

Written by the creators of Stata''s likelihood maximization features, Maximum Likelihood Estimation with Stata, Third Edition continues the pioneering work of the previous editions. Emphasizing practical implications for applied work, the first chapter provides an overview of maximum likelihood estimation theory and numerical optimization methods. With step-by-step instructions, the next several chapters detail the use of Stata to maximize user-written likelihood functions. Various examples include logit, probit, linear, Weibull, and random-effects linear regression as well as the Cox proportional hazards model. The final chapters describe how to add a new estimation command to Stata. Assuming a familiarity with Stata, this reference is ideal for researchers who need to maximize their own likelihood functions. New ml commands and their functions: constraint: fits a model with linear constraints on the coefficient by defining your constraints; accepts a constraint matrix ml model: picks up survey characteristics; accepts the subpop option for analyzing survey data optimization algorithms: Berndt-Hall-Hall-Hausman (BHHH), Davidon-Fletcher-Powell (DFP), Broyden-Fletcher-Goldfarb-Shanno (BFGS) ml: switches between optimization algorithms; computes variance estimates using the outer product of gradients (OPG)

Dr Bhimrao R. Ambedkar (1891-1956) was one of India''s greatest intellectuals and social reformers; his political ideas continue to inspire and mobilise some of the world''s poorest and most socially disadvantaged, in India and the global Indian diaspora. Ambedkar''s thought on labour, legal rights, women''s rights, education, caste, political representation and the economy are international in importance. This book explores his lesser-known period of London-based study and publication during the early 1920s, presenting that experience as a lens for thinking about Ambedkar''s global intellectual significance. Some of his later canon on caste, and Dalit rights and representation, was rooted in and shaped by his earlier work around the economy, governance, labour and representation during his time as a law student and as a doctoral candidate at the London School of Economics. The Indian diaspora in the UK is the country''s single largest national minority. This volume connects Ambedkar''s influence during his lifetime, and his legacy today, to this early phase of his career and intellectual life in London, and its immediate aftermath. It contains new material on the establishment of the city''s Ambedkar Museum, explores Britain''s Ambedkarite movement, and charts the campaign to outlaw caste discrimination in the UK.

William Gould explores what is arguably one of the most important and controversial themes in twentieth-century Indian history and politics: the nature of Hindu nationalism as an ideology and political language. Rather than concentrating on the main institutions of the Hindu Right in India as other studies have done, the author uses a variety of historical sources to analyse how Hindu nationalism affected the supposedly secularist Congress in the key state of Uttar Pradesh. In this way, the author offers an alternative assessment of how these languages and ideologies transformed the relationship between Congress and north Indian Muslims. The book makes a major contribution to historical analyses of the critical last two decades before Partition and Independence in 1947, which will be of value to scholars interested in historical and contemporary Hindu nationalism, and to students researching the final stages of colonial power in India.

Maximum Likelihood Estimation with Stata, Fourth Edition is written for researchers in all disciplines who need to compute maximum likelihood estimators that are not available as prepackaged routines. Readers are presumed to be familiar with Stata, but no special programming skills are assumed except in the last few chapters, which detail how to add a new estimation command to Stata. The book begins with an introduction to the theory of maximum likelihood estimation with particular attention on the practical implications for applied work. Individual chapters then describe in detail each of the four types of likelihood evaluator programs and provide numerous examples, such as logit and probit regression, Weibull regression, random-effects linear regression, and the Cox proportional hazards model. Later chapters and appendixes provide additional details about the ml command, provide checklists to follow when writing evaluators, and show how to write your own estimation commands.