Kirjojen hintavertailu. Mukana 11 717 486 kirjaa ja 12 kauppaa.

Kirjahaku

Etsi kirjoja tekijän nimen, kirjan nimen tai ISBN:n perusteella.

1000 tulosta hakusanalla Bradley Efron

The Science of Bradley Efron

The Science of Bradley Efron

Springer-Verlag New York Inc.
2008
sidottu
Nature didn’t design human beings to be statisticians, and in fact our minds are more naturally attuned to spotting the saber-toothed tiger than seeing the jungle he springs from. Yet scienti?c discovery in practice is often more jungle than tiger. Those of us who devote our scienti?c lives to the deep and satisfying subject of statistical inference usually do so in the face of a certain under-appreciation from the public, and also (though less so these days) from the wider scienti?c world. With this in mind, it feels very nice to be over-appreciated for a while, even at the expense of weathering a 70th birthday. (Are we certain that some terrible chronological error hasn’t been made?) Carl Morris and Rob Tibshirani, the two colleagues I’ve worked most closely with, both ?t my ideal pro?le of the statistician as a mathematical scientist working seamlessly across wide areas of theory and application. They seem to have chosen the papers here in the same catholic spirit, and then cajoled an all-star cast of statistical savants to comment on them.
The Science of Bradley Efron

The Science of Bradley Efron

Springer-Verlag New York Inc.
2010
nidottu
Nature didn’t design human beings to be statisticians, and in fact our minds are more naturally attuned to spotting the saber-toothed tiger than seeing the jungle he springs from. Yet scienti?c discovery in practice is often more jungle than tiger. Those of us who devote our scienti?c lives to the deep and satisfying subject of statistical inference usually do so in the face of a certain under-appreciation from the public, and also (though less so these days) from the wider scienti?c world. With this in mind, it feels very nice to be over-appreciated for a while, even at the expense of weathering a 70th birthday. (Are we certain that some terrible chronological error hasn’t been made?) Carl Morris and Rob Tibshirani, the two colleagues I’ve worked most closely with, both ?t my ideal pro?le of the statistician as a mathematical scientist working seamlessly across wide areas of theory and application. They seem to have chosen the papers here in the same catholic spirit, and then cajoled an all-star cast of statistical savants to comment on them.
To Think Like a Statistician

To Think Like a Statistician

Bradley Efron

PRINCETON UNIVERSITY PRESS
2026
sidottu
Why you don’t need to be a statistician to think like one A fire hose of information bombards us every day, and some of it is even true. Is Bitcoin a good investment? Are hurricanes getting worse? Is the measles vaccine dangerous? Separating the wheat from the chaff is what statisticians do—and there’s lots of chaff. To Think Like a Statistician shares the skills statisticians use to sift through evidence, learn from experience, and extract meaning and knowledge from the random and the contradictory. Bradley Efron is one of the most renowned statisticians in the world and has shaped how data science and machine learning are practiced today. In this book, he draws on examples ranging from David Hume’s critique of miracles to counterfeit Basquiats, AI hallucinations, pandemics, competing political claims, government approvals of Alzheimer’s treatments, gambling, and misinformation. He describes how statisticians have tackled difficult topics—like correlation, causation, prediction, survival, and accuracy—and demystifies the disputes surrounding concepts like randomness, uncertainty, and subjectivity. Blending real-world insights with personal stories from a leading expert, To Think Like a Statistician equips readers with powerful ideas from the statistician’s toolbox and explains the tricks of the trade, enabling anyone to become a more sophisticated consumer of information in an increasingly noisy world.
The Jackknife, the Bootstrap and Other Resampling Plans

The Jackknife, the Bootstrap and Other Resampling Plans

Bradley Efron

Society for Industrial Applied Mathematics,U.S.
1982
nidottu
The jackknife and the bootstrap are nonparametric methods for assessing the errors in a statistical estimation problem. They provide several advantages over the traditional parametric approach: the methods are easy to describe and they apply to arbitrarily complicated situations; distribution assumptions, such as normality, are never made.This monograph connects the jackknife, the bootstrap, and many other related ideas such as cross-validation, random subsampling, and balanced repeated replications into a unified exposition. The theoretical development is at an easy mathematical level and is supplemented by a large number of numerical examples.The methods described in this monograph form a useful set of tools for the applied statistician. They are particularly useful in problem areas where complicated data structures are common, for example, in censoring, missing data, and highly multivariate situations.
Large-Scale Inference

Large-Scale Inference

Bradley Efron

Cambridge University Press
2012
pokkari
We live in a new age for statistical inference, where modern scientific technology such as microarrays and fMRI machines routinely produce thousands and sometimes millions of parallel data sets, each with its own estimation or testing problem. Doing thousands of problems at once is more than repeated application of classical methods. Taking an empirical Bayes approach, Bradley Efron, inventor of the bootstrap, shows how information accrues across problems in a way that combines Bayesian and frequentist ideas. Estimation, testing and prediction blend in this framework, producing opportunities for new methodologies of increased power. New difficulties also arise, easily leading to flawed inferences. This book takes a careful look at both the promise and pitfalls of large-scale statistical inference, with particular attention to false discovery rates, the most successful of the new statistical techniques. Emphasis is on the inferential ideas underlying technical developments, illustrated using a large number of real examples.
Exponential Families in Theory and Practice

Exponential Families in Theory and Practice

Bradley Efron

Cambridge University Press
2022
sidottu
During the past half-century, exponential families have attained a position at the center of parametric statistical inference. Theoretical advances have been matched, and more than matched, in the world of applications, where logistic regression by itself has become the go-to methodology in medical statistics, computer-based prediction algorithms, and the social sciences. This book is based on a one-semester graduate course for first year Ph.D. and advanced master's students. After presenting the basic structure of univariate and multivariate exponential families, their application to generalized linear models including logistic and Poisson regression is described in detail, emphasizing geometrical ideas, computational practice, and the analogy with ordinary linear regression. Connections are made with a variety of current statistical methodologies: missing data, survival analysis and proportional hazards, false discovery rates, bootstrapping, and empirical Bayes analysis. The book connects exponential family theory with its applications in a way that doesn't require advanced mathematical preparation.
Exponential Families in Theory and Practice

Exponential Families in Theory and Practice

Bradley Efron

Cambridge University Press
2022
pokkari
During the past half-century, exponential families have attained a position at the center of parametric statistical inference. Theoretical advances have been matched, and more than matched, in the world of applications, where logistic regression by itself has become the go-to methodology in medical statistics, computer-based prediction algorithms, and the social sciences. This book is based on a one-semester graduate course for first year Ph.D. and advanced master's students. After presenting the basic structure of univariate and multivariate exponential families, their application to generalized linear models including logistic and Poisson regression is described in detail, emphasizing geometrical ideas, computational practice, and the analogy with ordinary linear regression. Connections are made with a variety of current statistical methodologies: missing data, survival analysis and proportional hazards, false discovery rates, bootstrapping, and empirical Bayes analysis. The book connects exponential family theory with its applications in a way that doesn't require advanced mathematical preparation.
An Introduction to the Bootstrap

An Introduction to the Bootstrap

Bradley Efron; R.J. Tibshirani

Chapman Hall/CRC
1994
sidottu
Statistics is a subject of many uses and surprisingly few effective practitioners. The traditional road to statistical knowledge is blocked, for most, by a formidable wall of mathematics. The approach in An Introduction to the Bootstrap avoids that wall. It arms scientists and engineers, as well as statisticians, with the computational techniques they need to analyze and understand complicated data sets.
Computer Age Statistical Inference, Student Edition

Computer Age Statistical Inference, Student Edition

Bradley Efron; Trevor Hastie

Cambridge University Press
2021
pokkari
The twenty-first century has seen a breathtaking expansion of statistical methodology, both in scope and influence. 'Data science' and 'machine learning' have become familiar terms in the news, as statistical methods are brought to bear upon the enormous data sets of modern science and commerce. How did we get here? And where are we going? How does it all fit together? Now in paperback and fortified with exercises, this book delivers a concentrated course in modern statistical thinking. Beginning with classical inferential theories - Bayesian, frequentist, Fisherian - individual chapters take up a series of influential topics: survival analysis, logistic regression, empirical Bayes, the jackknife and bootstrap, random forests, neural networks, Markov Chain Monte Carlo, inference after model selection, and dozens more. The distinctly modern approach integrates methodology and algorithms with statistical inference. Each chapter ends with class-tested exercises, and the book concludes with speculation on the future direction of statistics and data science.
Computer Age Statistical Inference

Computer Age Statistical Inference

Efron Bradley; Hastie Trevor

Cambridge University Press
2016
sidottu
The twenty-first century has seen a breathtaking expansion of statistical methodology, both in scope and in influence. 'Big data', 'data science', and 'machine learning' have become familiar terms in the news, as statistical methods are brought to bear upon the enormous data sets of modern science and commerce. How did we get here? And where are we going? This book takes us on an exhilarating journey through the revolution in data analysis following the introduction of electronic computation in the 1950s. Beginning with classical inferential theories - Bayesian, frequentist, Fisherian - individual chapters take up a series of influential topics: survival analysis, logistic regression, empirical Bayes, the jackknife and bootstrap, random forests, neural networks, Markov chain Monte Carlo, inference after model selection, and dozens more. The distinctly modern approach integrates methodology and algorithms with statistical inference. The book ends with speculation on the future direction of statistics and data science.
Edison to Enron

Edison to Enron

Robert L. Bradley

John Wiley Sons Inc
2011
sidottu
The oil industry in the United States has been the subject of innumerable histories. But books on the development of the natural gas industry and the electricity industry in the U.S. are scarce. Edison to Enron is a readable flowing history of two of America's largest and most colorful industries. It begins with the story of Samuel Insull, a poor boy from England, who started his career as Thomas Edison's right-hand man, then went on his own and became one of America's top industrialists. But when Insull's General Electric's energy empire collapsed during the Great Depression, the hitherto Great Man was denounced and prosecuted and died a pauper. Against that backdrop, the book introduces Ken Lay, a poor boy from Missouri who began his career as an aide to the head of Humble oil, now part of Exxon Mobil. Lay went on to become a Washington bureaucrat and energy regulator and then became the wunderkind of the natural gas industry in the 1980s with Enron. To connect the lives of these two energy giants, Edison to Enron takes the reader through the flamboyant history of the American energy industry, from Texas wildcatters to the great pipeline builders to the Washington wheeler-dealers. From the Reviews... "This scholarly work fills in much missing history about two of America's most important industries, electricity and natural gas." —Joseph A. Pratt, NEH-Cullen Professor of History and Business, University of Houston "... a remarkable book on the political inner workings of the U.S. energy industry." —Robert Peltier, PE, Editor-in-Chief, POWER Magazine "This is a powerful story, brilliantly told." —Forrest McDonald, Historian
Enron Ascending

Enron Ascending

Robert L. Bradley

John Wiley Sons Inc
2018
sidottu
A great fall cannot be understood apart from the rise that preceded it. Enron Ascending is the only book to date that examines in detail the first two-thirds of that iconic energy company's life. Thus, it is the only book to date that exposes the deepest causes of Enron's stunning collapse. Nobel economist Paul Krugman predicted that history would look upon Enron's plummet as a greater turning point than the fall of the Twin Towers. Enron Ascending explains the shock of the company's fall by recalling the astounding achievements of Enron’s birth, childhood, adolescence, and early maturity. It sets forth the once-celebrated but now-forgotten industry and innovation that caused the company and its reputation to soar stratospherically. At the same time, always conscious of the company's fate, the book highlights throughout the developing habits of thought and behavior that later evolved into self-destructive acts of desperation and deceit. Written fifteen years after the firm’s demise, Enron Ascending offers the long perspective of a uniquely positioned insider, Robert L. Bradley, Jr., the company's director of public-policy analysis and Chairman Ken Lay's personal speechwriter. The book also offers a library of previously unavailable information, drawn from Bradley’s innumerable corporate documents and unrepeatable interviews, which he collected in his capacity as the company's prospective historian. Most important, however, Enron Ascending offers an antidote to the unending stories, studies, and books about Enron that are presented as just-the-facts but are in reality shaped decisively by the worldview of their authors. Bradley shows, beyond dispute, that the early habits which set precedents for Enron's history-making demise were directly contrary to the free-market behaviors and capitalist attitudes generally blamed for Enron's fall.
Ecological Risk Assessment for Contaminated Sites

Ecological Risk Assessment for Contaminated Sites

Glenn W. Suter II; Rebecca A. Efroymson; Bradley E. Sample; Daniel S. Jones

CRC Press
2019
nidottu
Love Canal. Exxon Valdez. Times Beach. Sacramento River Spill. Amoco Cadiz. Seveso. Every area of the world has been affected by improper waste disposal and chemical spills. Common hazardous waste sites include abandoned warehouses, manufacturing facilities, processing plants, and landfills. These sites poison the land and contaminate groundwater and drinking water. A sequel to the bestselling Ecological Risk Assessment, Ecological Risk Assessment for Contaminated Sites focuses on how to perform ecological risk assessments for Superfund sites and locations contaminated by improper disposal of wastes, or chemical spills. It integrates the authors' extensive experience in assessing ecological risks at U.S. government sites with techniques and examples from assessments performed by others. Conducting an ecological risk assessment on a contaminated site provides the information needed to make decisions concerning site remediation. The first rule of good risk assessment is "don't do anything stupid". With the practical preparation you get from Ecological Risk Assessment for Contaminated Sites you won't.
Ecological Risk Assessment for Contaminated Sites

Ecological Risk Assessment for Contaminated Sites

Glenn W. Suter II; Rebecca A. Efroymson; Bradley E. Sample; Daniel S. Jones

CRC Press Inc
2000
sidottu
Love Canal. Exxon Valdez. Times Beach. Sacramento River Spill. Amoco Cadiz. Seveso. Every area of the world has been affected by improper waste disposal and chemical spills. Common hazardous waste sites include abandoned warehouses, manufacturing facilities, processing plants, and landfills. These sites poison the land and contaminate groundwater and drinking water. A sequel to the bestselling Ecological Risk Assessment, Ecological Risk Assessment for Contaminated Sites focuses on how to perform ecological risk assessments for Superfund sites and locations contaminated by improper disposal of wastes, or chemical spills. It integrates the authors' extensive experience in assessing ecological risks at U.S. government sites with techniques and examples from assessments performed by others. Conducting an ecological risk assessment on a contaminated site provides the information needed to make decisions concerning site remediation. The first rule of good risk assessment is "don't do anything stupid". With the practical preparation you get from Ecological Risk Assessment for Contaminated Sites you won't.
Bradley

Bradley

Axelrod Alan; Clark Wesley K.

Palgrave Macmillan
2008
sidottu
A compelling study of the military career of five-star general Omar Bradley details his rise to command of the U.S. 12th Army Group in the European theater of World War II, gifts as as a tactician, service as a mentor for younger officers, transformation of the VA into a model government agency, and key legacy for modern military service. 50,000 first printing.
Bradley

Bradley

Alan Axelrod; Wesley K. Clark

Palgrave Macmillan
2009
nidottu
Dubbed by the World War II press as "The G.I. General" because of his close identification with his men, Omar Bradley rose to command the largest exclusively American field command in U.S. history during the European Campaign. Alan Axelrod applies his signature insight and compelling prose to the life, strategy and legacy of the general who remains the model for all commanders today as the man who revolutionized the National Guard, shaped the U.S. army's focus on the individual soldier, and emphasized cooperation and coordination among the military services.