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Bootstrapping, a computational nonparametric technique for "re-sampling," enables researchers to draw a conclusion about the characteristics of a population strictly from the existing sample rather than by making parametric assumptions about the estimator. Using real data examples from per capita personal income to median preference differences between legislative committee members and the entire legislature, Mooney and Duval discuss how to apply bootstrapping when the underlying sampling distribution of the statistics cannot be assumed normal, as well as when the sampling distribution has no analytic solution. In addition, they show the advantages and limitations of four bootstrap confidence interval methods: normal approximation, percenti

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This new edition continues to serve as a comprehensive guide to modern and classical methods of statistical computing.  The book is comprised of four main parts spanning the field: Optimization Integration and Simulation Bootstrapping Density Estimation and Smoothing Within these sections,each chapter includes a comprehensive introduction and step-by-step implementation summaries to accompany the explanations of key methods.  The new edition includes updated coverage and existing topics as well as new topics such as adaptive MCMC and bootstrapping for correlated data.  The book website now includes comprehensive R code for the entire book.  There are extensive exercises, real examples, and helpful insights about how to use the methods in practice.

As the Great Depression touched every corner of America, the New Deal promoted indigenous arts and crafts as a means of bootstrapping Native American peoples. But New Deal administrators' romanticization of indigenous artists predisposed them to favor pre-industrial forms rather than art that responded to contemporary markets.In A New Deal for Native Art, Jennifer McLerran reveals how positioning the native artist as a pre-modern Other served the goals of New Deal programs—and how this sometimes worked at cross-purposes with promoting native self-sufficiency. She describes federal policies of the 1930s and early 1940s that sought to generate an upscale market for Native American arts and crafts. And by unraveling the complex ways in which commodification was negotiated and the roles that producers, consumers, and New Deal administrators played in that process, she sheds new light on native art’s commodity status and the artist’s position as colonial subject.In this first book to address the ways in which New Deal Indian policy specifically advanced commodification and colonization, McLerran reviews its multi-pronged effort to improve the market for Indian art through the Indian Arts and Crafts Board, arts and crafts cooperatives, murals, museum exhibits, and Civilian Conservation Corps projects. Presenting nationwide case studies that demonstrate transcultural dynamics of production and reception, she argues for viewing Indian art as a commodity, as part of the national economy, and as part of national political trends and reform efforts.McLerran marks the contributions of key individuals, from John Collier and Rene d’Harnoncourt to Navajo artist Gerald Nailor, whose mural in the Navajo Nation Council House conveyed distinctly different messages to outsiders and tribal members. Featuring dozens of illustrations, A New Deal for Native Art offers a new look at the complexities of folk art “revivals” as it opens a new window on the Indian New Deal.

Combining a modern, data-analytic perspective with a focus on applications in the social sciences, the Third Edition of Applied Regression Analysis and Generalized Linear Models provides in-depth coverage of regression analysis, generalized linear models, and closely related methods, such as bootstrapping and missing data. Updated throughout, this Third Edition includes new chapters on mixed-effects models for hierarchical and longitudinal data. Although the text is largely accessible to readers with a modest background in statistics and mathematics, author John Fox also presents more advanced material in optional sections and chapters throughout the book.

Multivariate Data Analysis Introduction to SPSS Outliers Normality Test of Linearity Data Transformation Bootstrapping Homoscedasticity Introduction to IBM SPSS – AMOS Multivariate Analysis of Variance (MANOVA) One Way Manova in SPSS Multiple Regression Analysis Binary Logistic Regression Factor Analysis Exploratory Factor Analysis Confirmatory Factor Analysis Cluster Analysis K - Mean Cluster Analysis Hierarchical Cluster Analysis Discriminant Analysis Correspondence Analysis Multidimensional Scaling Example - Multidimensional Scaling (ALSCAL) Neural Network Decision Trees Path Analysis Structural Equation Modeling Canonical Correlation

As the Great Depression touched every corner of America, the New Deal promoted indigenous arts and crafts as a means of bootstrapping Native American peoples. But New Deal administrators' romanticization of indigenous artists predisposed them to favor pre-industrial forms rather than art that responded to contemporary markets.In A New Deal for Native Art, Jennifer McLerran reveals how positioning the native artist as a pre-modern Other served the goals of New Deal programs—and how this sometimes worked at cross-purposes with promoting native self-sufficiency. She describes federal policies of the 1930s and early 1940s that sought to generate an upscale market for Native American arts and crafts. And by unraveling the complex ways in which commodification was negotiated and the roles that producers, consumers, and New Deal administrators played in that process, she sheds new light on native art’s commodity status and the artist’s position as colonial subject.In this first book to address the ways in which New Deal Indian policy specifically advanced commodification and colonization, McLerran reviews its multi-pronged effort to improve the market for Indian art through the Indian Arts and Crafts Board, arts and crafts cooperatives, murals, museum exhibits, and Civilian Conservation Corps projects. Presenting nationwide case studies that demonstrate transcultural dynamics of production and reception, she argues for viewing Indian art as a commodity, as part of the national economy, and as part of national political trends and reform efforts.McLerran marks the contributions of key individuals, from John Collier and Rene d’Harnoncourt to Navajo artist Gerald Nailor, whose mural in the Navajo Nation Council House conveyed distinctly different messages to outsiders and tribal members. Featuring dozens of illustrations, A New Deal for Native Art offers a new look at the complexities of folk art “revivals” as it opens a new window on the Indian New Deal.

Combining a modern, data-analytic perspective with a focus on applications in the social sciences, the Third Edition of Applied Regression Analysis and Generalized Linear Models provides in-depth coverage of regression analysis, generalized linear models, and closely related methods, such as bootstrapping and missing data. Updated throughout, this Third Edition includes new chapters on mixed-effects models for hierarchical and longitudinal data. Although the text is largely accessible to readers with a modest background in statistics and mathematics, author John Fox also presents more advanced material in optional sections and chapters throughout the book.

This new edition continues to serve as a comprehensive guide to modern and classical methods of statistical computing.  The book is comprised of four main parts spanning the field: Optimization Integration and Simulation Bootstrapping Density Estimation and Smoothing Within these sections,each chapter includes a comprehensive introduction and step-by-step implementation summaries to accompany the explanations of key methods.  The new edition includes updated coverage and existing topics as well as new topics such as adaptive MCMC and bootstrapping for correlated data.  The book website now includes comprehensive R code for the entire book.  There are extensive exercises, real examples, and helpful insights about how to use the methods in practice.

This book covers the techniques of data mining, knowledge discovery, genetic algorithms, neural networks, bootstrapping, machine learning, and Monte Carlo simulation.Computational finance, an exciting new cross-disciplinary research area, draws extensively on the tools and techniques of computer science, statistics, information systems, and financial economics. This book covers the techniques of data mining, knowledge discovery, genetic algorithms, neural networks, bootstrapping, machine learning, and Monte Carlo simulation. These methods are applied to a wide range of problems in finance, including risk management, asset allocation, style analysis, dynamic trading and hedging, forecasting, and option pricing. The book is based on the sixth annual international conference Computational Finance 1999, held at New York University's Stern School of Business.

"The beauty of bootstrapping is that you don't need much," says Reverend Floyd Flake. "You don't need to win the lottery, or receive an inheritance or help from rich relatives to turn your dreams into reality." He speaks from experience. Raised in the segregated South and one of thirteen children, eight of whom were brought up together in a tiny two-bedroom house, Flake went on to become a member of the U.S. Congress, dean of a major university, and pastor of one of America's largest churches--a church that has become a nationally renowned model of community development. Yet what is most inspiring about Reverend Flake is his enthusiasm to motivate people to pick themselves up by their bootstraps, rely on their boundless personal resources, and become doers!What is Bootstrapping? A process--to achieve success by making it against all odds. A mind-set--to take responsibility for your thoughts, feelings, words, actions, and life circumstances. A value system--to transform your relationship with yourself, your neighbors, and your environment. Bootstrapping is the strategy our ancestors used to raise families, work the land, start new businesses, run the government, build wealth, and care for the less fortunate. The Way of the Bootstrapper shows you how to use this creative and empowering approach to life to fulfill your passions, talents, and dreams.

This book covers the techniques of data mining, knowledge discovery, genetic algorithms, neural networks, bootstrapping, machine learning, and Monte Carlo simulation.Computational finance, an exciting new cross-disciplinary research area, draws extensively on the tools and techniques of computer science, statistics, information systems, and financial economics. This book covers the techniques of data mining, knowledge discovery, genetic algorithms, neural networks, bootstrapping, machine learning, and Monte Carlo simulation. These methods are applied to a wide range of problems in finance, including risk management, asset allocation, style analysis, dynamic trading and hedging, forecasting, and option pricing. The book is based on the sixth annual international conference Computational Finance 1999, held at New York University's Stern School of Business.

Billings' local food scene is bootstrapping and standing tall. Renowned restaurants like TEN boast menus that showcase distinctive local ingredients from trout roe to foraged mushrooms. Restaurants and artisans source from centuries-old establishments like the McGowan family farm, which provides grain to Trailhead Spirits distillery. Mingling regional cuisine with the cosmopolitan influences of far-flung cities, homegrown spots like Lilac and Field House garner national attention with their daily dishes. Teppanyaki cooking and innovative global offerings are quickly diversifying the foodscape. Food journalist Stella Fong provides an eclectic sampling of the people, restaurants, producers and suppliers that contribute to the city s growing palate."