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Olive Oil
Told with candour and humour, Olive Oil: The New Zealand Way is part inspirational memoir, part case study in how to make a go of lifestyle farming and a must-read for anyone nuts enough to give growing olives in the New Zealand situation a go.
Lectures of David Olive on Gauge Theories and Lie Algebras
Professor David Olive was a renowned British theoretical physicist who made seminal contributions to superstrings, quantum gauge theories and mathematical physics. He was awarded the Dirac Medal by the International Centre for Theoretical Physics in Trieste in 1997, with his long-standing collaborator Peter Goddard. David Olive was a Fellow of the Royal Society and a Founding Fellow of the Learned Society of Wales. David Olive was known for his visionary conjectures, including electromagnetic duality in spontaneously broken gauge theories, as well as his exceptionally clear and insightful style of exposition.These lectures, delivered by David Olive in 1982 at the University of Virginia, provide a pedagogical, self-contained introduction to gauge theory, Lie algebras, electromagnetic duality and integrable models. Despite enormous subsequent developments, they still provide a valuable entry point to some of the deepest topics in quantum gauge theory.
Linear Regression
This text covers both multiple linear regression and some experimental design models. The text uses the response plot to visualize the model and to detect outliers, does not assume that the error distribution has a known parametric distribution, develops prediction intervals that work when the error distribution is unknown, suggests bootstrap hypothesis tests that may be useful for inference after variable selection, and develops prediction regions and large sample theory for the multivariate linear regression model that has m response variables. A relationship between multivariate prediction regions and confidence regions provides a simple way to bootstrap confidence regions. These confiden...
The Analytic S-Matrix
A theory of the S-Matrix, starting from physically plausible assumptions and looking at the mathematical consequences.
Paul Dirac
A unique insight into Dirac's life and work, by four internationally respected physicists.
Statistical Theory and Inference
This text is for a one semester graduate course in statistical theory and covers minimal and complete sufficient statistics, maximum likelihood estimators, method of moments, bias and mean square error, uniform minimum variance estimators and the Cramer-Rao lower bound, an introduction to large sample theory, likelihood ratio tests and uniformly most powerful tests and the Neyman Pearson Lemma. A major goal of this text is to make these topics much more accessible to students by using the theory of exponential families. Exponential families, indicator functions and the support of the distribution are used throughout the text to simplify the theory. More than 50 ``brand name" distributions are used to illustrate the theory with many examples of exponential families, maximum likelihood estimators and uniformly minimum variance unbiased estimators. There are many homework problems with over 30 pages of solutions.
Olive
The debut novel that everyone’s talking about from the Sunday Times bestselling author, Emma Gannon. ‘Explores such an important topic with a lightness and warmth’ Dolly Alderton ‘Thoughtful, funny, and honest’ Elizabeth Gilbert ‘It'll give a voice to countless women’ Marian Keyes
Kac-Moody and Virasoro Algebras
This volume reviews the subject of Kac-Moody and Virasoro Algebras. It serves as a reference book for physicists with commentary notes and reprints.
