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Kernel Smoothing in Matlab: Theory and Practice of Kernel Smoothing

de Ivanka Horová & Jan Kolácek

Methods of kernel estimates represent one of the most effective nonparametric smoothing techniques. These methods are simple to understand and they possess very good statistical properties. This book provides...


Statistical Methods of Analysis

de Chin Long Chiang

This textbook systematically presents fundamental methods of statistical analysis: from probability and statistical distributions, through basic concepts of statistical inference, to a collection of methods...


Pricing Derivative Securities: 2nd Edition

de Thomas W Epps

This book presents techniques for valuing derivative securities at a level suitable for practitioners, students in doctoral programs in economics and finance, and those in masters-level programs in financial...


Everyday Probability and Statistics: Health, Elections, Gambling and War

de MICHAEL MARK WOOLFSON

Probability and statistics impinge on the life of the average person in a variety of ways — as is suggested by the title of this book. Very often, information is provided that is factually accurate but intended...


Theory of Markov Processes

de E. B. Dynkin, D. E. Brown & T. Kovary

An investigation of the logical foundations of the theory behind Markov random processes, this text explores subprocesses, transition functions, and conditions for boundedness and continuity. 1961 edition.


Statistics of Extremes

de E. J. Gumbel

This classic text covers order statistics and their exceedances; exact distribution of extremes; the 1st asymptotic distribution; uses of the 1st, 2nd, and 3rd asymptotes; more. 1958 edition. Includes 44 tables...


Probability: Elements of the Mathematical Theory

de C. R. Heathcote

Text deals with basic notions of probablity spaces, random variables, distribution and generating functions, joint distributions and the convergence properties of sequences of random variables. Over 250 exercises...


Individual Choice Behavior: A Theoretical Analysis

de R. Duncan Luce

This treatise presents a mathematical analysis of choice behavior. Starting with a general axiom, it then examines applications of the theory to substantive problems: psychophysics, utility, and learning. 1959...


Applied Matrix Algebra in the Statistical Sciences

de Alexander Basilevsky

This comprehensive text offers teachings relevant to both applied and theoretical branches of matrix algebra and provides a bridge between linear algebra and statistical models. Appropriate for advanced undergraduate...


Stationary and Related Stochastic Processes: Sample Function Properties and Their Applications

de Harald Cramér & M. Ross Leadbetter

This graduate-level text offers a comprehensive account of the general theory of stationary processes and develops the foundations of the general theory of stochastic processes, examines processes with a continuous-time...


Lectures on the Coupling Method

de Torgny Lindvall

Practical and easy-to-use reference progresses from simple to advanced topics, covering, among other topics, renewal theory, Markov chains, Poisson approximation, ergodicity, and Strassen's theorem. 1992 edition....


Dynamic Probabilistic Systems, Volume II: Semi-Markov and Decision Processes

de Ronald A. Howard

An integrated work in two volumes, this text teaches readers to formulate, analyze, and evaluate Markov models. The first volume treats the basic process; the second, semi-Markov and decision processes. 1971...


Lady Luck: The Theory of Probability

de Warren Weaver

This witty, nontechnical introduction to probability elucidates such concepts as permutations, independent events, mathematical expectation, the law of averages and more. No advanced math required. 49 drawings....


Sequential Analysis

de Abraham Wald

The first to solve the general problem of sequential tests of statistical hypotheses, the author of this text explains his revolutionary theory of the sequential probability ratio test and its applications....


Beginning Statistics with Data Analysis

de Frederick Mosteller, Stephen E. Fienberg & Robert E.K. Rourke

This introduction to the world of statistics covers exploratory data analysis, methods for collecting data, formal statistical inference, and techniques of regression and analysis of variance. 1983 edition.


A Graduate Course in Probability

de Howard G. Tucker

Suitable for a graduate course in analytic probability, this text covers probability spaces and distributions, stochastic independence, strong limit theorems for independent random variables, stochastic processes,...


Probability Theory: A Concise Course

de Y. A. Rozanov

This clear exposition begins with basic concepts and moves on to combination of events, dependent events and random variables, Bernoulli trials and the De Moivre-Laplace theorem, and more. Includes 150 problems,...


Applied Probability Models with Optimization Applications

de Sheldon M. Ross

Concise advanced-level introduction to stochastic processes that arise in applied probability. Poisson process, renewal theory, Markov chains, Brownian motion, much more. Problems. References. Bibliography....


Challenging Mathematical Problems with Elementary Solutions, Vol. I

de A. M. Yaglom & I. M. Yaglom

Volume I of a two-part series, this book features a broad spectrum of 100 challenging problems related to probability theory and combinatorial analysis. Most can be solved with elementary mathematics. Complete...


Probability: An Introduction

de Samuel Goldberg

Excellent basic text covers set theory, probability theory for finite sample spaces, binomial theorem, probability distributions, means, standard deviations, probability function of binomial distribution, more....