Probability & Statistics

Helping first-time students establish a solid foundation in quantitative research methods, this ground-up Canadian text uses a conversational tone, a wealth of practice problems and exercises, and clear examples to teach the universal language of statistics.

This book is designed to introduce graduate students and researchers to the primary methods useful for approximating integrals. The emphasis is on those methods that have been found to be of practical use, and although the focus is on approximating higher- dimensional integrals thelower-dimensional case is also covered. Included in the book are asy …

This volume comprises a comprehensive collection of original papers on the subject of estimating functions. It is intended to provide statisticians with an overview of both the theory and the applications of estimating functions in biostatistics, stochastic processes, and survey sampling. Fromthe early 1960s when the concept of optimality criterion …

An Introduction to Statistics for Canadian Social Scientists is a ground-up Canadian text that establishes a solid foundation in statistics for first-time students of the discipline. Ideal for second- or third-year introductory level statistics courses in sociology, the text uses Canadianscholarship and examples to teach the universal language of s …

Nonlinearity arises in statistical inference in various ways, with varying degrees of severity, as an obstacle to statistical analysis. More entrenched forms of nonlinearity often require intensive numerical methods to construct estimators, and the use of root search algorithms, or one-stepestimators, is a standard method of solution. This book pro …

Over recent years, developments in statistical computing have freed statisticians from the burden of calculation and have made possible new methods of analysis that previously would have been too difficult or time-consuming. Up till now these developments have been primarily in numericalcomputation and graphical display, but equal steps forward are …

This book begins with a historical survey of 'generalized inverse Gaussian laws', in which the wartime contribution of Etienne Halphen is presented for the first time. The inverse Gaussian distribution, its properties, and its implications are set in a wide perspective. The concepts of inversion and inverse natural exponential functions are present …