04279nam 22006255 450 991030011080332120230810193148.03-319-73241-210.1007/978-3-319-73241-1(CKB)3840000000347490(MiAaPQ)EBC5261367(DE-He213)978-3-319-73241-1(PPN)258855010(PPN)224638238(EXLCZ)99384000000034749020180201d2018 u| 0engurcnu||||||||rdacontentrdamediardacarrierTrends and Perspectives in Linear Statistical Inference LinStat, Istanbul, August 2016 /edited by Müjgan Tez, Dietrich von Rosen1st ed. 2018.Cham :Springer International Publishing :Imprint: Springer,2018.1 online resource (257 pages) illustrationsContributions to Statistics3-319-73240-4 Includes bibliographical references at the end of each chapters and index.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).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. .Contributions to StatisticsStatisticsBiometryMathematical statisticsData processingStatistical Theory and MethodsStatistics in Business, Management, Economics, Finance, InsuranceBiostatisticsStatistics and ComputingStatistics.Biometry.Mathematical statisticsData processing.Statistical Theory and Methods.Statistics in Business, Management, Economics, Finance, Insurance.Biostatistics.Statistics and Computing.519.5Tez Müjganedthttp://id.loc.gov/vocabulary/relators/edtvon Rosen Dietrichedthttp://id.loc.gov/vocabulary/relators/edtMiAaPQMiAaPQMiAaPQBOOK9910300110803321Trends and Perspectives in Linear Statistical Inference1563822UNINA