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Lecture notes in statistics
Springer-Verlag
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LNS
Lecture notes in statistics (Springer-Verlag)
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101
- Monte Carlo and quasi-Monte Carlo Methods 1996 : proceedings of a conference at the University of Salzburg, Austria, July 9-12, 1996
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Harald Niederreiter ... [et al.] (editors)
Springer 1998 Lecture notes in statistics 127
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102
- Linear mixed models in practice : a SAS-oriented approach
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Geert Verbeke, Geert Molenberghs
Springer c1997 Lecture notes in statistics v. 126
: softcover
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103
- Series approximation methods in statistics
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John E. Kolassa
Springer c1997 2nd ed Lecture notes in statistics 88
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104
- Model-oriented design of experiments
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Valerii V. Fedorov, Peter Hackl
Springer c1997 Lecture notes in statistics v. 125
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105
- Proceedings of the first Seattle Symposium in Biostatistics : Survival Analysis
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D.Y. Lin, T.R. Fleming (editors)
Springer c1997 Lecture notes in statistics v. 123
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106
- Robust planning and analysis of experiments
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Christine H. Müller
Springer c1997 Lecture notes in statistics v. 124
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107
- Modelling longitudinal and spatially correlated data : methods, applications, and future directions
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Timothy G. Gregoire ... [et al.] (editors)
Springer c1997 Lecture notes in statistics v. 122
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108
- Latent variable modeling and applications to causality
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Maia Berkane, editor
Springer c1997 Lecture notes in statistics 120
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109
- Applications of computer aided time series modeling
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Masanao Aoki, Arthur M. Havenner, editors
Springer c1997 Lecture notes in statistics 119
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110
- Applied probability in honor of J.M. Gani
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C.C. Heyde ... [et al.] (editors)
Springer c1996 Lecture notes in statistics 114 . Athens Conference on Applied Probability and Time Series Analysis ; v. 1
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111
- Time series analysis in memory of E.J. Hannan
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P.M. Robinson, M. Rosenblatt (editors)
Springer c1996 Lecture notes in statistics 115 . Athens Conference on Applied Probability and Time Series Analysis ; v. 2
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112
- Stochastic networks : stability and rare events
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Paul Glasserman, Karl Sigman, David D. Yao, (editors)
Springer c1996 Lecture notes in statistics 117
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113
- Bayesian learning for neural networks
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Radford M. Neal
Springer-Verlag c1996 Lecture notes in statistics 118
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114
- Smoothness priors analysis of time series
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Genshiro Kitagawa, Will Gersch
Springer-Verlag c1996 Lecture notes in statistics 116
: pbk
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115
- Optimum designs for multi-factor models
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Rainer Schwabe
Springer-Verlag c1996 Lecture notes in statistics 113
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116
- Learning from data : artificial intelligence and statistics V
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Doug Fisher, Hans-J. Lenz, (editors)
Springer-Verlag c1996 Lecture notes in statistics 112
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117
- Statistical disclosure control in practice
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Leon Willenborg, Ton de Waal
Springer-Verlag c1996 Lecture notes in statistics 111
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118
- Nonparametric statistics for stochastic processes : estimation and prediction
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D. Bosq
Springer-Verlag c1996 Lecture notes in statistics v. 110
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119
- Robust statistics, data analysis, and computer intensive methods : in honor of Peter Huber's 60th birthday
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Helmut Rieder, editor
Springer 1996 Lecture notes in statistics v. 109
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120
- Indirect estimators in U.S. Federal programs
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Wesley L. Schaible (editor)
Springer c1996 Lecture notes in statistics v. 108
: pbk
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