Looking for a probability history? Have a look at this 2019 guide!
When you want to find probability history, you may need to consider between many choices. Finding the best probability history is not an easy task. In this post, we create a very short list about top 10 the best probability history for you. You can check detail product features, product specifications and also our voting for each product. Let’s start with following top 10 probability history:
Best probability history
1. Multistate Models for the Analysis of Life History Data (Chapman & Hall/CRC Monographs on Statistics and Applied Probability)
Description
Multistate Models for the Analysis of Life History Data provides the first comprehensive treatment of multistate modeling and analysis, including parametric, nonparametric and semiparametric methods applicable to many types of life history data. Special models such as illness-death, competing risks and progressive processes are considered, as well as more complex models. The book provides both theoretical development and illustrations of analysis based on data from randomized trials and observational cohort studies in health research.
Features
- Discusses a wide range of applications of multistate models
- Presents methods for both continuously and intermittently observed life history processes
- Gives a thorough discussion of conditionally independent censoring and observation processes
- Discusses models with random effects and joint models for two or more multistate processes
- Discusses and illustrates software for multistate analysis that is available in R
- Target audience includes those engaged in research and applications involving multistate models
Richard Cook is Canada Research Chair in Statistical Methods for Health Research at the University of Waterloo. He has received the Gold Medal of the Statistical Society of Canada and is a Fellow of the American Statistical Association. He collaborates and consults widely on health research and has given many short courses. He and Dr. Lawless previously coauthored the influential book, The Statistical Analysis of Recurrent Events (Springer, 2007).
Jerald Lawless is Distinguished Professor Emeritus at the University of Waterloo. He is a Fellow of the Royal Society of Canada, a Gold Medal recipient of the Statistical Society of Canada and Fellow of the American Statistical Association. He is a past editor of Technometrics and has collaborated and consulted in numerous areas. He has presented many short courses, with Dr. Cook and individually.
"The authors of the book are internationally renowned experts in the field of multi-state modeling and have written an extremely clear and comprehensive book on the topic that covers many different aspects, from the fundamental theory to the practical side of analyzing data and interpreting results. The examples are well chosen to represent the most common types of multi-state processes that public health researchers could encounter. The inclusion of software code to illustrate how the models can be fit and interpreted is especially helpful to readers." (Mimi Kim, Albert Einstein College of Medicine)
2. Probability and Statistics: The Science of Uncertainty (History of Mathematics)
Feature
Used Book in Good ConditionDescription
Presents the historical development of probability and statistics and some of their present-day applications in communications, safety analysis, epidemiology, and actuarial science.3. A History of the Mathematical Theory of Probability (Classic Reprint)
Description
Excerpt from A History of the Mathematical Theory of ProbabilityDe Moivre's Doctrine of Chances formed a treatise on the subject, full, clear and accurate; and it maintained its place as a standard work, at least in England, almost down to our own day.
The tenth Chapter gives an account of some miscellaneous investigations between the years 1700 and 1750. These investigations are due to Nicolas Bernoulli, Arbuthnot, Browne, Mairan, Nicole, Buffon, Ham, Thomas Simpson and John Bernoulli.
The eleventh Chapter relates to Daniel Bernoulli, containing an account of a series of memoirs published chiefly in the volumes of the Academy of Petersburg; the memoirs are remarkable for boldness and originality, the first of them contains the celebrated theory of Moral Expectation.
The twelfth Chapter relates to Euler; it gives an account of his memoirs, which relate principally to certain games of chance.
The thirteenth Chapter relates to D'Alembert; it gives a full account of the objections which ho urged against some of the fundamental principles of the subject, and of his controversy with Daniel Bernoulli on the mathematical investigation of the gain to human life which would arise from the extirpation of one of the most fatal diseases to which the human race is liable.
The fourteenth Chapter relates to Bayes; it explains the method by which he demonstrated his famous theorem, which may be said to have been the origin of that part of the subject which relates to the probabilities of causes as inferred from observed effects.
The fifteenth Chapter is devoted to Lagrange; he contributed to the subject a valuable memoir on the theory of the errors of observations, and demonstrations of the results enunciated by De Moivre respecting the Duration of Play.
The sixteenth Chapter contains notices of miscellaneous investigations between the years 1750 and 1780. This Chapter brings before us Kaostner, Clark, Mallet, John Bernoulli
4. The Certainty of Faith and the Probabilities of Salvation History: The Dialectic of Faith and History in Modern Theology
Description
"This book gives a comprehensive and fascinating account of the development of the idea of history in correspondence to changing conceptions of the divine reality, from its origin in Ancient Israel and in Greece all the way to the contemporary discussion. It focuses on the rise of critical historical investigation in modern times and on the struggle of modern theology to come to terms with it. It is an important contribution to this discussion. The split between fact and meaning is persuasively identified as a main obstacle and it is shown to be overcome in the reconstruction of history in the light of the eschatological future. Also very helpful is the final chapter on time (space-time) and eternity with its emphasis on Boethius and with its critical remarks on nontrinitarian theistic notions of a personal God."
--Wolfhart Pannenberg,
University of Munich
5. The History of Statistics: The Measurement of Uncertainty before 1900
Feature
Used Book in Good ConditionDescription
This magnificent book is the first comprehensive history of statistics from its beginnings around 1700 to its emergence as a distinct and mature discipline around 1900. Stephen M. Stigler shows how statistics arose from the interplay of mathematical concepts and the needs of several applied sciences including astronomy, geodesy, experimental psychology, genetics, and sociology. He addresses many intriguing questions: How did scientists learn to combine measurements made under different conditions? And how were they led to use probability theory to measure the accuracy of the result? Why were statistical methods used successfully in astronomy long before they began to play a significant role in the social sciences? How could the introduction of least squares predate the discovery of regression by more than eighty years? On what grounds can the major works of men such as Bernoulli, De Moivre, Bayes, Quetelet, and Lexis be considered partial failures, while those of Laplace, Galton, Edgeworth, Pearson, and Yule are counted as successes? How did Galtons probability machine (the quincunx) provide him with the key to the major advance of the last half of the nineteenth century?
Stiglers emphasis is upon how, when, and where the methods of probability theory were developed for measuring uncertainty in experimental and observational science, for reducing uncertainty, and as a conceptual framework for quantitative studies in the social sciences. He describes with care the scientific context in which the different methods evolved and identifies the problems (conceptual or mathematical) that retarded the growth of mathematical statistics and the conceptual developments that permitted major breakthroughs.
Statisticians, historians of science, and social and behavioral scientists will gain from this book a deeper understanding of the use of statistical methods and a better grasp of the promise and limitations of such techniques. The product of ten years of research, The History of Statistics will appeal to all who are interested in the humanistic study of science.
6. A History of Probability and Statistics and Their Applications before 1750
Description
WILEY-INTERSCIENCE PAPERBACK SERIESThe Wiley-Interscience Paperback Series consists of selectedbooks that have been made more accessible to consumers in an effortto increase global appeal and general circulation. With these newunabridged softcover volumes, Wiley hopes to extend the lives ofthese works by making them available to future generations ofstatisticians, mathematicians, and scientists.
From the Reviews of History of Probability and Statistics andTheir Applications before 1750
"This is a marvelous book . . . Anyone with the slightestinterest in the history of statistics, or in understanding howmodern ideas have developed, will find this an invaluableresource."
Short Book Reviews of ISI
7. Games, Gods & Gambling: A History of Probability and Statistical Ideas
Description
8. Symmetry and its Discontents: Essays on the History of Inductive Probability (Cambridge Studies in Probability, Induction and Decision Theory)
Feature
Used Book in Good ConditionDescription
This volume brings together a collection of essays on the history and philosophy of probability and statistics by an eminent scholar in these subjects. Written over the last fifteen years, they fall into three broad categories. The first deals with the use of symmetry arguments in inductive probability, in particular, their use in deriving rules of succession. The second group deals with three outstanding individuals who made lasting contributions to probability and statistics in very different ways. The last group of essays deals with the problem of "predicting the unpredictable."9. A Treatise on Probability: The Connection Between Philosophy and the History of Science
Description
John Maynard Keynes, 1st Baron Keynes, CB (1883-1946) was a British economist whose ideas have profoundly affected the theory and practice of modern macroeconomics, as well as the economic policies of governments. He greatly refined earlier work on the causes of business cycles, and advocated the use of fiscal and monetary measures to mitigate the adverse effects of economic recessions and depressions. His ideas are the basis for the school of thought known as Keynesian economics, and its various offshoots. "A Treatise on Probability," originally published in 1921, launched the "logical-relationist" theory.10. The Emergence of Probability: A Philosophical Study of Early Ideas about Probability, Induction and Statistical Inference (Cambridge Series on Statistical And Probabilistic Mathematics)
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