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|a 10.1007/978-3-319-73241-1
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|a Trends and Perspectives in Linear Statistical Inference
|h [electronic resource] :
|b LinStat, Istanbul, August 2016 /
|c edited by Müjgan Tez, Dietrich von Rosen.
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|a 1st ed. 2018.
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|a Cham :
|b Springer International Publishing :
|b Imprint: Springer,
|c 2018.
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|a X, 257 p. 60 illus., 26 illus. in color.
|b online resource.
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|a text
|b txt
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|a Contributions to Statistics,
|x 1431-1968
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|a Foreword -- Comparison of estimation methods for inverse Weibull distribution (F. G. Akgül, B. Şenoğlu) -- Liu-type negative binomial regression (Y. Asar) -- Appraisal of performance of three tree-based classification methods (H. D. Asfha, B. K. Kilinc) -- High-dimensional CLTs for individual Mahalanobis distances (D. Dai, T. Holgersson) -- Bootstrap type-1 fuzzy functions approach for time series forecasting (A. Z. Dalar, E. Eğrioğlu) -- A weighted ensemble learning by SVM for longitudinal data: Turkish bank bankruptcy (B. E. Erdogan, S. Ö. Akyüz) -- The complementary exponential phase type distribution (S. Eryilmaz) -- Best linear unbiased prediction: Some properties of linear prediction sufficiency in the linear model (J. Isotalo, A. Markiewicz, S. Puntanen) -- A note on circular m-consecutive-k-out-of-n: F Systems (C. Kan) -- A categorical principal component regression on computer assisted instruction in probability domain (T. Kapucu, O. Ilk, İ. Batmaz) -- Contemporary robust optimal design strategies (T. E. O'Brien) -- Alternative approaches for the use of uncertain prior information to overcome the rank-deficiency of a linear model (B. Schaffrin, K. Snow, X. Fang) -- Exact likelihood-based point and interval estimation for lifetime characteristics of Laplace distribution based on hybrid Type-I and Type-II censored data (F. Su, N. Balakrishnan, X. Zhu) -- Statistical inference for two-compartment model parameters with bootstrap method and genetic algorithm (Ö. Türkşen, M. Tez).
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|a This volume features selected contributions on a variety of topics related to linear statistical inference. The peer-reviewed papers from the International Conference on Trends and Perspectives in Linear Statistical Inference (LinStat 2016) held in Istanbul, Turkey, 22-25 August 2016, cover topics in both theoretical and applied statistics, such as linear models, high-dimensional statistics, computational statistics, the design of experiments, and multivariate analysis. The book is intended for statisticians, Ph.D. students, and professionals who are interested in statistical inference. .
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|a Statistics .
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|a Statistical Theory and Methods.
|0 http://scigraph.springernature.com/things/product-market-codes/S11001
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|a Statistics for Business, Management, Economics, Finance, Insurance.
|0 http://scigraph.springernature.com/things/product-market-codes/S17010
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|a Statistics for Life Sciences, Medicine, Health Sciences.
|0 http://scigraph.springernature.com/things/product-market-codes/S17030
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|a Statistics and Computing/Statistics Programs.
|0 http://scigraph.springernature.com/things/product-market-codes/S12008
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|a Tez, Müjgan.
|e editor.
|4 edt
|4 http://id.loc.gov/vocabulary/relators/edt
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|a von Rosen, Dietrich.
|e editor.
|4 edt
|4 http://id.loc.gov/vocabulary/relators/edt
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|a SpringerLink (Online service)
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|t Springer eBooks
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|i Printed edition:
|z 9783319732404
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|i Printed edition:
|z 9783319732428
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|i Printed edition:
|z 9783319892429
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|a Contributions to Statistics,
|x 1431-1968
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|u https://doi.org/10.1007/978-3-319-73241-1
|z Full Text via HEAL-Link
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912 |
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|a ZDB-2-SMA
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|a Mathematics and Statistics (Springer-11649)
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