Springer Series on Statistics

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Springer Series in Statistics
Series Editors: Bickel, P., Diggle, P., Fienberg, S.E., Gather, U., Olkin, I., Zeger, S. Springer Series in Statistics (SSS) is a series of monographs of general interest that discuss statistical theory and applications.

Recently published:
C. Gu

Smoothing Spline ANOVA Models
Vol. 297 J. Wakefield

Bayesian and Frequentist Regression Methods
J. Bartroff, T.L. Lai, M.-C. Shih

Sequential Experimentation in Clinical Trials
Design and Analysis, Vol. 298

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P.J. Brockwell, R.A. Davis

Time Series: Theory and Methods
L. Fahrmeir, G. Tutz

Multivariate Statistical Modelling Based on Generalized Linear Models
M.J. Kolen, R.L. Brennan

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Test Equating

Methods and Practices J. Ramsay, B.W. Silverman

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Functional Data Analysis

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