|
Showing 1 - 17 of
17 matches in All Departments
This is author-approved bcc: This is the third volume of a
collection of seminal papers in the statistical science written
during the past 110 years. These papers have each had an
outstanding influence on the development of statistical theory and
practice over the last century. Each paper is preceded by an
introduction written by an authority in the field providing
background information and assessing its influence. Volume III
concertrates on articles from the 1980's while including some
earlier articles not included in Volumes I and II. Samuel Kotz is
Professor of Statistics in the College of Business and Management
at the University of Maryland. Norman L. Johnson is Professor
Emeritus of Statistics at the University of North Carolina. Also
available: Breakthroughs in Statistics Volume I: Foundations and
Basic Theory Samuel Kotz and Norman L. Johnson, Editors 1993. 631
pp. Softcover. 0-387-94037-5 Breakthroughs in Statistics Volume II:
Methodology and Distribution Samuel Kotz and Norman L. Johnson,
Editors 1993. 600 pp. Softcover. 0-387-94039-1
by S. Geisser.- Fisher, R.A. (1922) On the Mathematical Foundations
of Theoretical Statistics.- by T.W. Anderson.- Hotelling, H. (1931)
The Generalization of Student's Ratio.- by E.L. Lehmann.- Neyman,
J. and Pearson, E.S. (1933) On the Problem of the Most Efficient
Tests of Statistical Hypotheses.- by D.A.S. Fraser.- by D.A.S.
Fraser.- by R.E. Barlow.- de Finetti, B. (1937) Foresight: It's
Logical Laws, Its Subjective Sources.- by M.R. Leadbetter.- Cramer,
H. (1942) On Harmonic Analysis in Certain Functional Spaces.- by
R.L. Smith.- Gnedenko, B.V. (1943) On the Limiting Distribution of
the Maximum Term in a Random Series.- by P.K. Pathak.- Rao, C.R.
(1945) Information and the Accuracy Attainable in the Estimation of
Statistical Parameters.- by B.K. Ghosh.- Wald, A. (1945) Sequential
Tests of Statistical Hypotheses.- by P.K. Sen.- Hoeffding, W.
(1948) A Class of Statistics with Asymptotically Normal
Distribution.- by L. Weiss.- Wald, A. (1949) Statistical Decision
Functions.- by D.V. Lindley.- by D.V. Lindley.- by I.J. Good.-
Robbins, H.E. (1955) An Empirical Bayes Approach to Statistics.- by
H.P. Wynn.- Kiefer, J.C. (1959) Optimum Experimental Designs.- by
B. Efron.- by B. Efron.- by J.F. BjTHrnstad.- Birnbaum, A. (1962)
On the Foundations of Statistical Inference.- by W.U. DuMouchel.-
Edwards, W., Lindman, H., and Savage, L.J. (1963) Bayesian
Statistical Inference for Psychological Research.- by N. Reid.-
Fraser, D.A.S. (1966) Structural Probability and a Generalization.-
by J. de Leeuw.- Akaike, H. (1973) Information Theory and an
Extension of the Maximum Likelihood Principle.
Lagrangian expansions can be used to obtain numerous very useful
probability models, which have been applied to real life situations
including, but not limited to branching processes, queuing
processes, stochastic processes, environmental toxicology,
diffusion of information, ecology, strikes in industries, sales of
new products, and amount of production for optimum profits. This
book is a comprehensive, systematic treatment of the two classes of
Lagrangian probability distributions along with some of their
sub-families and their properties; important applications are also
given.Graduate students and researchers interested in Lagrangian
probability distributions, who have sound knowledge of standard
statistical techniques, will find this book valuable. It may be
used as a reference text or in courses and seminars on distribution
theory and Lagrangian distributions. Applied scientists and
researchers in environmental statistics, reliability, sales
management, epidemiology, operations research, and the optimization
of profits in manufacturing and marketing will benefit immensely
from the various applications in the book.
This book describes the inferential and modeling advantages that
this distribution, together with its generalizations and
modifications, offers. The exposition systematically unfolds with
many examples, tables, illustrations, and exercises. A
comprehensive index and extensive bibliography also make this book
an ideal text for a senior undergraduate and graduate seminar on
statistical distributions, or for a short half-term academic course
in statistics, applied probability, and finance.
A solid, rigorous, yet comprehensible analysis of process
capability indices, this work bridges the gap between theoretical
statisticians and quality control practitioners, showing how an
understanding of these indices can lead to process improvement.
A solid, rigorous, yet comprehensible analysis of process
capability indices, this work bridges the gap between theoretical
statisticians and quality control practitioners, showing how an
understanding of these indices can lead to process improvement.
Arthur Lyon Bowley, the founding father of modern statistics, was
an important and colorful figure and a leader in cementing the
foundations of statistical methodology, including survey
methodology, and of the applications of statistics to economical
and social issues during the late 19th and early 20th centuries. In
many respects, he was ahead of his time. The giants in this field
around that time were largely concentrated in the British Isles and
Scandinavian countries; among these contributors, Arthur Bowley was
one of the most active in revolutionizing statistical methodology
and its economic applications. However, Bowley has been vastly
undervalued by subsequent commentators ????????????????????????
while hundreds of articles and books have been written on Karl
Pearson, those on Arthur Bowley amount to a dozen or less. This
book seeks to remedy this and fill in an important omission in the
monographical literature on the history of statistics. In
particular, the recent resurgence of interest in poverty research
has led to a renewed interest in Bowley's legacy.
This important book provides an up-to-date comprehensive and
down-to-earth survey of the theory and practice of extreme value
distributions — one of the most prominent success stories of
modern applied probability and statistics. Originated by E J Gumbel
in the early forties as a tool for predicting floods, extreme value
distributions evolved during the last 50 years into a coherent
theory with applications in practically all fields of human
endeavor where maximal or minimal values (the so-called extremes)
are of relevance. The book is of usefulness both for a beginner
with a limited probabilistic background and to expert in the field.
This book provides a survey of recent methodology, both theoretical
and applied, regarding the statistical analysis and detection of
defective (non-conforming) items in various types of inspection for
attributes, when the inspection itself is subject to error. This
error can be of two kinds: false positive (classifying
non-defective as defective) and false negative (classifying
defective as non-defective).
This book describes the inferential and modeling advantages that
this distribution, together with its generalizations and
modifications, offers. The exposition systematically unfolds with
many examples, tables, illustrations, and exercises. A
comprehensive index and extensive bibliography also make this book
an ideal text for a senior undergraduate and graduate seminar on
statistical distributions, or for a short half-term academic course
in statistics, applied probability, and finance.
. . ) (under the assumption that the spectral density exists). For
this reason, a vast amount of periodical and monographic literature
is devoted to the nonparametric statistical problem of estimating
the function tJ( T) and especially that of leA) (see, for example,
the books [4,21,22,26,56,77,137,139,140,]). However, the empirical
value t;; of the spectral density I obtained by applying a certain
statistical procedure to the observed values of the variables Xl' .
. . , X , usually depends in n a complicated manner on the cyclic
frequency). . This fact often presents difficulties in applying the
obtained estimate t;; of the function I to the solution of specific
problems rela ted to the process X . Theref ore, in practice, the t
obtained values of the estimator t;; (or an estimator of the
covariance function tJ~( T" are almost always "smoothed," i. e. ,
are approximated by values of a certain sufficiently simple
function 1 = 1
This book is devoted to an investigation of control problems which
can be described by ordinary differential equations and be
expressed in terms of game theoretical notions. In these terms, a
strategy is a control based on the feedback principle which will
assure a definite equality for the controlled process which is
subject to uncertain factors such as a move or a controlling action
of the opponent. "Game" "Theoretical Control Problems" contains
definitions and formalizations of differential games, existence for
equilibrium and extensive discussions of optimal strategies. Formal
definitions and statements are accompanied by suitable motivations
and discussions of computational algorithms. The book is addessed
to mathematicians, engineers, economists and other users of control
theoretical and game theoretical notions.
This is author-approved bcc: This is the third volume of a
collection of seminal papers in the statistical sciences written
during the past 110 years. These papers have each had an
outstanding influence on the development of statistical theory and
practice over the last century. Each paper is preceded by an
introduction written by an authority in the field providing
background information and assessing its influence. Volume III
concerntrates on articles from the 1980's while including some
earlier articles not included in Volume I and II. Samuel Kotz is
Professor of Statistics in the College of Business and Management
at the University of Maryland. Norman L. Johnson is Professor
Emeritus of Statistics at the University of North Carolina. Also
available: Breakthroughs in Statistics Volume I: Foundations and
Basic Theory Samuel Kotz and Norman L. Johnson, Editors 1993. 631
pp. Softcover. ISBN 0-387-94037-5 Breakthroughs in Statistics
Volume II: Methodology and Distribution Samuel Kotz and Norman L.
Johnson, Editors 1993. 600 pp. Softcover. ISBN 0-387-94039-1
McCrimmon, having gotten Grierson's attention, continued: "A
breakthrough, you say? If it's in economics, at least it can't be
dangerous. Nothing like gene engineering, laser beams, sex hormones
or international relations. That's where we don't want any
breakthroughs. " (Galbraith, 1. K. (1990) A Tenured Profes- sor,
Houghton Mifflin; Boston. ) To judge [astronomy] in this way [a
narrow utilitarian point of view] demon- strates not only how poor
we are, but also how small, narrow, and indolent our minds are; it
shows a disposition always to calculate the payolTbefore the work,
a cold heart and a lack of feeling for everything that is great and
honors man. One can unfortunately not deny that such a mode of
thinking is not uncommon in our age, and I am convinced that this
is closely connected with the catastro- phes which have befallen
many countries in recent times; do not mistake me, I do not talk of
the general lack of concern for science, but of the source from
which all this has come, of the tendency to everywhere look out for
one's advan- tage and to relate everything to one's physical
well-being, of the indilTerence towards great ideas, ofthe aversion
to any elTort which derives from pure enthu- siasm: I believe that
such attitudes, if they prevail, can be decisive in catas- trophes
of the kind we have experienced. [Gauss, K. F. : Astronomische An-
trittsvorlesung (cited from Buhler, W. K. (1981) Gauss: A
Biographical Study, Springer: New York)].
McCrimmon, having gotten Grierson's attention, continued: "A
breakthrough, you say? If it's in economics, at least it can't be
dangerous. Nothing like gene engineering, laser beams, sex hormones
or international relations. That's where we don't want any
breakthroughs. " (Galbraith, 1. K. (1990) A Tenured Profes- sor,
Houghton Miffiin; Boston. ) To judge [astronomy] in this way [a
narrow utilitarian point of view] demon- strates not only how poor
we are, but also how small, narrow, and indolent our minds are; it
shows a disposition always to calculate the payolIbefore the work,
a cold heart and a lack of feeling for everything that is great and
honors man. One can unfortunately not deny that such a mode of
thinking is not uncommon in our age, and I am convinced that this
is closely connected with the catastro- phes which have befallen
many countries in recent times; do not mistake me, I do not talk of
the general lack of concern for science, but of the source from
which all this has come, of the tendency to everywhere look out for
one's advan- tage and to relate everything to one's physical
well-being, of the indilIerence towards great ideas, ofthe aversion
to any elIort which derives from pure enthu- siasm: I believe that
such attitudes, if they prevail, can be decisive in catas- trophes
of the kind we have experienced. [Gauss, K. F. : Astronomische An-
trittsvorlesung (cited from Buhler, W. K. (1981) Gauss: A
Biographical Study, Springer: New York)].
Almost all published results on multivariate t-distributions (spanning the last 50 years) are collected in this comprehensive reference. The book begins with theoretical probabilistic results and then presents statistical aspects. Generalizations and applications are dealt with in the final chapters, including material on estimation and regression models of special value for practitioners in statistics and economics. A comprehensive bibliography of over 350 references is included.
|
|