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Perturbation Methods

Ali H. Nayfeh

The Wiley Classics Library consists of selected books that have become recognized classics in their respective fields. With these new unabridged and inexpensive editions, Wiley hopes to extend the life of these important works by making them available to future generations of mathematicians and scientists.

Currently available in the Series:

T. W. Anderson

The Statistical Analysis of Time Series

T. S. Arthanari & Yadolah Dodge

Mathematical Programming in Statistics

Emil Artin

Geometric Algebra

Norman T. J. Bailey

The Elements of Stochastic Processes

with Applications to the Natural Sciences

Robert G. Bartle

The Elements of Integration and

Lebesgue Measure

George E. P. Box & Norman R. Draper

Evolutionary Operation: A Statistical Method for Process Improvement

George E. P. Box & George C. Tiao

Bayesian Inference in Statistical Analysis

R. W. Carter

Finite Groups of Lie Type: Conjugacy Classes

and Complex Characters

R. W. Carter

Simple Groups of Lie Type

William G. Cochran & Gertrude M. Cox

Experimental Designs, Second Edition

Richard Courant

Differential and Integral Calculus, Volume I

RIchard Courant

Differential and Integral Calculus, Volume II

Richard Courant & D. Hilbert

Methods of Mathematical Physics, Volume I

Richard Courant & D. Hilbert

Methods of Mathematical Physics, Volume II

D. R. Cox

Planning of Experiments

Harold S. M. Coxeter

Introduction to Geometry, Second Edition

Charles W. Curtis & Irving Reiner

Representation Theory of Finite Groups and

Associative Algebras

Charles W. Curtis & Irving Reiner

Methods of Representation Theory

with Applications to Finite Groups

and Orders, Volume I

Charles W. Curtis & Irving Reiner

Methods of Representation Theory

with Applications to Finite Groups

and Orders, Volume II

Cuthbert Daniel

Fitting Equations to Data: Computer Analysis of

Multifactor Data, Second Edition

Bruno de Finetti

Theory of Probability, Volume I

Bruno de Finetti

Theory of Probability, Volume 2

W. Edwards Deming

Sample Design in Business Research

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