Cambridge Series in Statistical and Probabilistic Mathematics – serie
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72 produkter
Probability
Theory and Examples
Av Rick Durrett
Inbunden, 2019
1221 kr
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This lively introduction to measure-theoretic probability theory covers laws of large numbers, central limit theorems, random walks, martingales, Markov chains, ergodic theorems, and Brownian motion. Concentrating on results that are the most useful for applications, this comprehensive treatment is …
Confidence, Likelihood, Probability
Statistical Inference with Confidence Distributions
Av Tore Schweder, Nils Lid Hjort
Inbunden, 2016
1367 kr
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This lively book lays out a methodology of confidence distributions and puts them through their paces. Among other merits, they lead to optimal combinations of confidence from different sources of information, and they can make complex models amenable to objective and indeed prior-free analysis for …
Asymptotic Statistics
Häftad, 2000
989 kr
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This book is an introduction to the field of asymptotic statistics. The treatment is both practical and mathematically rigorous. In addition to most of the standard topics of an asymptotics course, including likelihood inference, M-estimation, the theory of asymptotic efficiency, U-statistics, and …
High-Dimensional Probability
An Introduction with Applications in Data Science
Inbunden, 2026
1074 kr
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'High-Dimensional Probability,' winner of the 2019 PROSE Award in Mathematics, offers an accessible and friendly introduction to key probabilistic methods for mathematical data scientists. Streamlined and updated, this second edition integrates theory, core tools, and modern applications. …
High-Dimensional Probability
An Introduction with Applications in Data Science
Inbunden, 2018
993 kr
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High-dimensional probability offers insight into the behavior of random vectors, random matrices, random subspaces, and objects used to quantify uncertainty in high dimensions. Drawing on ideas from probability, analysis, and geometry, it lends itself to applications in mathematics, statistics, …
Statistical Hypothesis Testing in Context: Volume 52
Reproducibility, Inference, and Science
Av Michael P. Fay, Erica H. Brittain
Inbunden, 2022
918 kr
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Fay and Brittain present statistical hypothesis testing and compatible confidence intervals, focusing on application and proper interpretation. The emphasis is on equipping applied statisticians with enough tools - and advice on choosing among them - to find reasonable methods for almost any …
A User's Guide to Measure Theoretic Probability
Av David Pollard, R. Gill m. fl.
Häftad, 2001
846 kr
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Rigorous probabilistic arguments, built on the foundation of measure theory introduced eighty years ago by Kolmogorov, have invaded many fields. Students of statistics, biostatistics, econometrics, finance, and other changing disciplines now find themselves needing to absorb theory beyond what they …
Bayesian Methods
An Analysis for Statisticians and Interdisciplinary Researchers
Av Thomas Leonard, John S. J. Hsu
Häftad, 2001
846 kr
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This book describes the Bayesian approach to statistics at a level suitable for final year undergraduate and Masters students. It is unusual in presenting Bayesian statistics with a practical flavor and an emphasis on mainstream statistics, showing how to infer scientific, medical, and social …
Empirical Processes in M-Estimation
Häftad, 2009
846 kr
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The theory of empirical processes provides valuable tools for the development of asymptotic theory in (nonparametric) statistical models, and makes possible the unified treatment of a number of them. This book reveals the relation between the asymptotic behaviour of M-estimators and the complexity …
Numerical Methods of Statistics
Häftad, 2011
944 kr
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This book explains how computer software is designed to perform the tasks required for sophisticated statistical analysis. For statisticians, it examines the nitty-gritty computational problems behind statistical methods. For mathematicians and computer scientists, it looks at the application of …
Random Graph Dynamics
Av Rick Durrett
Häftad, 2010
667 kr
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The theory of random graphs began in the late 1950s in several papers by Erdos and Renyi. In the late twentieth century, the notion of six degrees of separation, meaning that any two people on the planet can be connected by a short chain of people who know each other, inspired Strogatz and Watts to …
Numerical Methods of Statistics
Inbunden, 2011
1872 kr
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This book explains how computer software is designed to perform the tasks required for sophisticated statistical analysis. For statisticians, it examines the nitty-gritty computational problems behind statistical methods. For mathematicians and computer scientists, it looks at the application of …
Bayesian Nonparametrics
Av Nils Lid Hjort, Chris Holmes m. fl.
Inbunden, 2010
1367 kr
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Bayesian nonparametrics works - theoretically, computationally. The theory provides highly flexible models whose complexity grows appropriately with the amount of data. Computational issues, though challenging, are no longer intractable. All that is needed is an entry point: this intelligent book …
Essentials of Statistical Inference
Häftad, 2010
634 kr
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Aimed at advanced undergraduate and graduate students in mathematics and related disciplines, this book presents the concepts and results underlying the Bayesian, frequentist and Fisherian approaches, with particular emphasis on the contrasts between them. Computational ideas are explained, as well …
Bootstrap Methods and their Application
Av A. C. Davison, D. V. Hinkley m. fl.
Häftad, 1997
1416 kr
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Bootstrap methods are computer-intensive methods of statistical analysis, which use simulation to calculate standard errors, confidence intervals, and significance tests. The methods apply for any level of modelling, and so can be used for fully parametric, semiparametric, and completely …
Bayesian Methods
An Analysis for Statisticians and Interdisciplinary Researchers
Av Thomas Leonard, John S. J. Hsu m. fl.
Inbunden, 1999
1434 kr
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This book describes the Bayesian approach to statistics at a level suitable for final year undergraduate and Masters students. It is unusual in presenting Bayesian statistics with a practical flavor and an emphasis on mainstream statistics, showing how to infer scientific, medical, and social …
Markov Chains
Av J. R. Norris
Häftad, 1998
5,0 utav 5 stjärnor. Totalt antal röster: (1)
699 kr
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Markov chains are central to the understanding of random processes. This is not only because they pervade the applications of random processes, but also because one can calculate explicitly many quantities of interest. This textbook, aimed at advanced undergraduate or MSc students with some …
Design of Comparative Experiments
Av R. A. Bailey
Häftad, 2008
846 kr
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This book should be on the shelf of every practising statistician who designs experiments. Good design considers units and treatments first, and then allocates treatments to units. It does not choose from a menu of named designs. This approach requires a notation for units that does not depend on …
Wavelet Methods for Time Series Analysis
Av Donald B. Percival, Andrew T. Walden
Häftad, 2006
1090 kr
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This introduction to wavelet analysis 'from the ground level and up', and to wavelet-based statistical analysis of time series focuses on practical discrete time techniques, with detailed descriptions of the theory and algorithms needed to understand and implement the discrete wavelet transforms. …
Statistical Models
Häftad, 2008
1009 kr
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Models and likelihood are the backbone of modern statistics. This 2003 book gives an integrated development of these topics that blends theory and practice, intended for advanced undergraduate and graduate students, researchers and practitioners. Its breadth is unrivaled, with sections on survival …
Brownian Motion
Av Peter Mörters, Yuval Peres
Inbunden, 2010
1302 kr
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This eagerly awaited textbook covers everything the graduate student in probability wants to know about Brownian motion, as well as the latest research in the area. Starting with the construction of Brownian motion, the book then proceeds to sample path properties like continuity and nowhere …
Data Analysis and Graphics Using R
An Example-Based Approach
Av John Maindonald, W. John Braun
Inbunden, 2010
1693 kr
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Discover what you can do with R! Introducing the R system, covering standard regression methods, then tackling more advanced topics, this book guides users through the practical, powerful tools that the R system provides. The emphasis is on hands-on analysis, graphical display, and interpretation …
Statistical Models
Av A. C. Davison, R. Gill m. fl.
Inbunden, 2003
1954 kr
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Models and likelihood are the backbone of modern statistics. This 2003 book gives an integrated development of these topics that blends theory and practice, intended for advanced undergraduate and graduate students, researchers and practitioners. Its breadth is unrivaled, with sections on survival …
Semiparametric Regression
Av David Ruppert, M. P. Wand m. fl.
Inbunden, 2003
2314 kr
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Semiparametric regression is concerned with the flexible incorporation of non-linear functional relationships in regression analyses. Any application area that benefits from regression analysis can also benefit from semiparametric regression. Assuming only a basic familiarity with ordinary …
Semiparametric Regression
Av David Ruppert, M. P. Wand m. fl.
Häftad, 2003
938 kr
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Semiparametric regression is concerned with the flexible incorporation of non-linear functional relationships in regression analyses. Any application area that benefits from regression analysis can also benefit from semiparametric regression. Assuming only a basic familiarity with ordinary …
A User's Guide to Measure Theoretic Probability
Av David Pollard, R. Gill m. fl.
Inbunden, 2001
2008 kr
Lägg i varukorg
Rigorous probabilistic arguments, built on the foundation of measure theory introduced eighty years ago by Kolmogorov, have invaded many fields. Students of statistics, biostatistics, econometrics, finance, and other changing disciplines now find themselves needing to absorb theory beyond what they …
The Estimation and Tracking of Frequency
Inbunden, 2001
1726 kr
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Many electronic and acoustic signals can be modelled as sums of sinusoids and noise. However, the amplitudes, phases and frequencies of the sinusoids are often unknown and must be estimated in order to characterise the periodicity or near-periodicity of a signal and consequently to identify its …
Statistical Analysis of Stochastic Processes in Time
Inbunden, 2004
1514 kr
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This book was first published in 2004. Many observed phenomena, from the changing health of a patient to values on the stock market, are characterised by quantities that vary over time: stochastic processes are designed to study them. This book introduces practical methods of applying stochastic …
Measure Theory and Filtering
Introduction and Applications
Av Lakhdar Aggoun, Robert J. Elliott
Inbunden, 2004
1400 kr
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The estimation of noisily observed states from a sequence of data has traditionally incorporated ideas from Hilbert spaces and calculus-based probability theory. As conditional expectation is the key concept, the correct setting for filtering theory is that of a probability space. Graduate …
Essentials of Statistical Inference
Inbunden, 2005
1321 kr
Lägg i varukorg
Aimed at advanced undergraduate and graduate students in mathematics and related disciplines, this book presents the concepts and results underlying the Bayesian, frequentist and Fisherian approaches, with particular emphasis on the contrasts between them. Computational ideas are explained, as well …
