| Descript |
1 online resource (x, 257 pages) : illustrations, digital ; 24 cm |
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text txt rdacontent |
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computer c rdamedia |
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online resource cr rdacarrier |
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text file PDF rda |
| Series |
Contributions to statistics, 1431-1968
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Contributions to statistics
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| 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) |
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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
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| Subject |
Linear models (Statistics) -- Congresses
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Mathematical statistics -- Congresses
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Statistics
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Statistical Theory and Methods
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Statistics for Business/Economics/Mathematical Finance/Insurance
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Statistics for Life Sciences, Medicine, Health Sciences
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Statistics and Computing/Statistics Programs
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| Alt Author |
Tez, Mujgan, editor
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von Rosen, Dietrich, editor
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SpringerLink (Online service)
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| Alt Title |
LINSTAT2016 |
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