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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...
Robust Multivariate Analysis
This text presents methods that are robust to the assumption of a multivariate normal distribution or methods that are robust to certain types of outliers. Instead of using exact theory based on the multivariate normal distribution, the simpler and more applicable large sample theory is given. The text develops among the first practical robust regression and robust multivariate location and dispersion estimators backed by theory. The robust techniques are illustrated for methods such as principal component analysis, canonical correlation analysis, and factor analysis. A simple way to bootstrap confidence regions is also provided. Much of the research on robust multivariate analysis in this book is being published for the first time. The text is suitable for a first course in Multivariate Statistical Analysis or a first course in Robust Statistics. This graduate text is also useful for people who are familiar with the traditional multivariate topics, but want to know more about handling data sets with outliers. Many R programs and R data sets are available on the author’s website.
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.
Extra Virgin Olive Oil
Written by food expert David Neuman, Extra Virgin Olive Oil: The Truth in Your Kitchen is the first resource of its kind to show consumers how to identify and avoid purchasing rancid/defective olive oil by understanding price point, olive oil handling from the mill to stores, and the smell and taste of good, quality olive oil.
Reframing the Roman Economy
This book focuses on those features of the Roman economy that are less traceable in text and archaeology, and as a consequence remain largely underexplored in contemporary scholarship. By reincorporating, for the first time, these long-obscured practices in mainstream scholarly discourses, this book offers a more complete and balanced view of an economic system that for too long has mostly been studied through its macro-economic and large-scale – and thus archaeologically and textually omnipresent – aspects. The topic is approached in five thematic sections, covering unusual actors and perspectives, unusual places of production, exigent landscapes of exploitation, less-visible products and artefacts, and divergent views on emblematic economic spheres. To this purpose, the book brings together a select group of leading scholars and promising early career researchers in archaeology and ancient economic history, well positioned to steer this ill-developed but fundamental field of the Roman economy in promising new directions.
Growing Your Olive Tree Marriage
One partner is Jewish, the other is a Christian. Do they celebrate Hanukkah, Christmas, or both? Do they worship in a church or a synagogue? How will the children be raised? This essential resource addresses the concerns of interfaith couples, and includes interviews with intermarried couples, a discussion of intermarriage in history, and more.
Nonparametric Functional Estimation and Related Topics
About three years ago, an idea was discussed among some colleagues in the Division of Statistics at the University of California, Davis, as to the possibility of holding an international conference, focusing exclusively on nonparametric curve estimation. The fruition of this idea came about with the enthusiastic support of this project by Luc Devroye of McGill University, Canada, and Peter Robinson of the London School of Economics, UK. The response of colleagues, contacted to ascertain interest in participation in such a conference, was gratifying and made the effort involved worthwhile. Devroye and Robinson, together with this editor and George Metakides of the University of Patras, Greece...
Missouri Bar Journal
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