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Selected Papers of Frederick Mosteller
One of the best known statisticians of the 20th century, Frederick Mosteller has inspired numerous statisticians and other scientists by his creative approach to statistics and its applications. This volume collects 40 of his most original and influential papers, capturing the variety and depth of his writings. It is hoped that sharing these writings with a new generation of researchers will inspire them to build upon his insights and efforts.
The Pleasures of Statistics
From his unique perspective, renowned statistician and educator Frederick Mosteller describes many of the projects and events in his long career. From humble beginnings in western Pennsylvania to becoming the founding chairman of Harvard University’s Department of Statistics and beyond, he inspired many statisticians, scientists, and students with his unabashed pragmatism, creative thinking, and zest for both learning and teaching. This candid account offers fresh insights into the qualities that made Mosteller a superb teacher, a prolific scholar, a respected leader, and a valued advisor. A special feature of the book is its chapter-length insider accounts of work on the pre-election poll...
Evidence Matters
Opinions about education programs and practices are offered frequently—by children, parents, teachers, and policymakers. Credible studies of the impact of programs on the performance of children are far less frequent. Researchers use a variety of tools to determine their impact and efficacy, including sample surveys, narrative studies, and exploratory research. However, randomized field trials, which are commonly used in other disciplines, are rarely employed to measure the impact of education practice. Evidence Matters explores the history and current status of research in education and encourages the more frequent use of such trials. Judith Gueron (Manpower Demonstration Research Corpora...
Bit by Bit
This essential guide to doing social research in this fast-evolving digital age explains how the digital revolution is transforming the way social scientists observe behavior, ask questions, run experiments, and engage in mass collaborations.
Understanding Robust and Exploratory Data Analysis
Originally published in hardcover in 1982, this book is now offered in a Wiley Classics Library edition. A contributed volume, edited by some of the preeminent statisticians of the 20th century, Understanding of Robust and Exploratory Data Analysis explains why and how to use exploratory data analysis and robust and resistant methods in statistical practice.
Fifty Challenging Problems in Probability with Solutions
Remarkable puzzlers, graded in difficulty, illustrate elementary and advanced aspects of probability. These problems were selected for originality, general interest, or because they demonstrate valuable techniques. Also includes detailed solutions.
Inference and Disputed Authorship
The 1964 publication of Inference and Disputed Authorship made the cover of Time magazine and the attention of academics and the public alike for its use of statistical methodology to solve one of American history's most notorious questions: the disputed authorship of the Federalist Papers. Back in print for a new generation of readers, this classic volume applies mathematics, including the once-controversial Bayesian analysis, into the heart of a literary and historical problem by studying frequently used words in the texts. The reissue of this landmark book will be welcomed by anyone interested in the juncture of history, political science, and authorship.
Exploring Data Tables, Trends, and Shapes
WILEY-INTERSCIENCE PAPERBACK SERIES The Wiley-Interscience Paperback Series consists of selected books that have been made more accessible to consumers in an effort to increase global appeal and general circulation. With these new unabridged softcover volumes, Wiley hopes to extend the lives of these works by making them available to future generations of statisticians, mathematicians, and scientists. "Exploring Data Tables, Trends, and Shapes (EDTTS) was written as a companion volume to the same editors' book, Understanding Robust and Exploratory Data Analysis (UREDA). Whereas UREDA is a collection of exploratory and resistant methods of estimation and display, EDTTS goes a step further, de...
Fundamentals of Exploratory Analysis of Variance
The analysis of variance is presented as an exploratory component of data analysis, while retaining the customary least squares fitting methods. Balanced data layouts are used to reveal key ideas and techniques for exploration. The approach emphasizes both the individual observations and the separate parts that the analysis produces. Most chapters include exercises and the appendices give selected percentage points of the Gaussian, t, F chi-squared and studentized range distributions.
Probability with Statistical Applications
Probability and statistics: the atudy of variability: Permutations combinations,and the binomial theorem; Probability: equally likely outcomes; General theory of probability for discrete sample spaces; Numbers determined by experiments: random variables; Variability: mesures of spread; Joint distributins and binomial distribution by the normal: The central limit theorem; Some statistical applications probability; Theory of sanpling. Variances of suns and of avesages; Least squares, curve-fitting, and regression; Statistical inference for measuded variales; Projects for high-speed computers.
