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Author International Conference on Trends and Perspectives in Linear Statistical Inference (2016 : Istanbul, Turkey)
Title Trends and perspectives in linear statistical inference : proceedings of the LINSTAT2016 meeting held 22-25 August 2016 in Istanbul, Turkey / edited by Mujgan Tez, Dietrich von Rosen
Imprint Cham : Springer International Publishing : Imprint: Springer, 2018
book jacket
Descript 1 online resource (x, 257 pages) : illustrations, digital ; 24 cm
text txt rdacontent
computer c rdamedia
online resource cr rdacarrier
text file PDF rda
Series Contributions to statistics, 1431-1968
Contributions to statistics
Note Foreword -- Comparison of estimation methods for inverse Weibull distribution (F. G. Akgul, B. Senoglu) -- 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. Egrioglu) -- A weighted ensemble learning by SVM for longitudinal data: Turkish bank bankruptcy (B. E. Erdogan, S. O. Akyuz) -- 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, I. 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 (O. Turksen, M. Tez)
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
Host Item Springer eBooks
Subject Linear models (Statistics) -- Congresses
Mathematical statistics -- Congresses
Statistical Theory and Methods
Statistics for Business/Economics/Mathematical Finance/Insurance
Statistics for Life Sciences, Medicine, Health Sciences
Statistics and Computing/Statistics Programs
Alt Author Tez, Mujgan, editor
von Rosen, Dietrich, editor
SpringerLink (Online service)
Alt Title LINSTAT2016
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