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ISS-2012 Proceedings volume on longitudinal data analysis subject to measurement errors, missing values, and/or outliers

Sutradhar, Brajendra C. - Nama Orang;

This proceedings volume contains nine selected papers that were presented in the International Symposium in Statistics, 2012 held at Memorial University from July 16 to 18. These nine papers cover three different areas for longitudinal data analysis, four dealing with longitudinal data subject to measurement errors, four on incomplete longitudinal data analysis, and the last one for inferences for longitudinal data subject to outliers. Unlike in the independence setup, the inferences in measurement errors, missing values, and/or outlier models, are not adequately discussed in the longitudinal setup. The papers in the present volume provide details on successes and further challenges in these three areas for longitudinal data analysis. This volume is the first outlet with current research in three important areas in the longitudinal setup. The nine papers presented in three parts clearly reveal the similarities and differences in inference techniques used for three different longitudinal setups. Because the research problems considered in this volume are encountered in many real life studies in biomedical, clinical, epidemiology, socioeconomic, econometrics, and engineering fields, the volume should be useful to the researchers including graduate students in these areas.

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Ketersediaan
#
Perpustakaan Pusat E568
E568
Tersedia
Informasi Detail
Judul Seri
Lecture Notes in Statistics
No. Panggil
E568
Penerbit
New York : Springer New York., 2013
Deskripsi Fisik
xix, 209hlm.
Bahasa
Indonesia
ISBN/ISSN
9781461468714
Klasifikasi
NONE
Tipe Isi
-
Tipe Media
computer
Tipe Pembawa
online resource
Edisi
1
Subjek
Statistik
Data Longitudinal
Info Detail Spesifik
-
Pernyataan Tanggungjawab
Brajendra C. Sutradhar
Versi lain/terkait

Tidak tersedia versi lain

Lampiran Berkas
  • ISS-2012 Proceedings volume on longitudinal data analysis subject to measurement errors, missing values, and/or outliers
    https://doi.org/10.1007/978-1-4614-6871-4
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