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The Resource Trends and Perspectives in Linear Statistical Inference : Proceedings of the LINSTAT2016 meeting held 22-25 August 2016 in Istanbul, Turkey, edited by Müjgan Tez, Dietrich von Rosen, (electronic resource)

Trends and Perspectives in Linear Statistical Inference : Proceedings of the LINSTAT2016 meeting held 22-25 August 2016 in Istanbul, Turkey, edited by Müjgan Tez, Dietrich von Rosen, (electronic resource)

Label
Trends and Perspectives in Linear Statistical Inference : Proceedings of the LINSTAT2016 meeting held 22-25 August 2016 in Istanbul, Turkey
Title
Trends and Perspectives in Linear Statistical Inference
Title remainder
Proceedings of the LINSTAT2016 meeting held 22-25 August 2016 in Istanbul, Turkey
Statement of responsibility
edited by Müjgan Tez, Dietrich von Rosen
Contributor
Editor
Subject
Language
eng
Summary
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.--
Member of
Assigning source
Provided by publisher
Image bit depth
0
Literary form
non fiction
Nature of contents
dictionaries
http://library.link/vocab/relatedWorkOrContributorName
  • Tez, Müjgan
  • von Rosen, Dietrich
Series statement
  • Springer eBooks
  • Contributions to Statistics,
http://library.link/vocab/subjectName
Statistics
Label
Trends and Perspectives in Linear Statistical Inference : Proceedings of the LINSTAT2016 meeting held 22-25 August 2016 in Istanbul, Turkey, edited by Müjgan Tez, Dietrich von Rosen, (electronic resource)
Link
https://eui.idm.oclc.org/login?url=http://dx.doi.org/10.1007/978-3-319-73241-1
Instantiates
Publication
Antecedent source
mixed
Carrier category
online resource
Carrier category code
  • cr
Carrier MARC source
rdacarrier
Color
not applicable
Content category
text
Content type code
  • txt
Content type MARC source
rdacontent
Contents
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)
Control code
978-3-319-73241-1
Dimensions
unknown
Extent
1 online resource (X, 257 pages)
File format
multiple file formats
Form of item
  • online
  • electronic
Governing access note
Use of this electronic resource may be governed by a license agreement which restricts use to the European University Institute community. Each user is responsible for limiting use to individual, non-commercial purposes, without systematically downloading, distributing, or retaining substantial portions of information, provided that all copyright and other proprietary notices contained on the materials are retained. The use of software, including scripts, agents, or robots, is generally prohibited and may result in the loss of access to these resources for the entire European University Institute community
Isbn
9783319732411
Level of compression
uncompressed
Media category
computer
Media MARC source
rdamedia
Media type code
  • c
Other control number
10.1007/978-3-319-73241-1
Other physical details
60 illustrations, 26 illustrations in color.
Quality assurance targets
absent
Reformatting quality
access
Specific material designation
remote
System control number
(OCoLC)1021882143
Label
Trends and Perspectives in Linear Statistical Inference : Proceedings of the LINSTAT2016 meeting held 22-25 August 2016 in Istanbul, Turkey, edited by Müjgan Tez, Dietrich von Rosen, (electronic resource)
Link
https://eui.idm.oclc.org/login?url=http://dx.doi.org/10.1007/978-3-319-73241-1
Publication
Antecedent source
mixed
Carrier category
online resource
Carrier category code
  • cr
Carrier MARC source
rdacarrier
Color
not applicable
Content category
text
Content type code
  • txt
Content type MARC source
rdacontent
Contents
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)
Control code
978-3-319-73241-1
Dimensions
unknown
Extent
1 online resource (X, 257 pages)
File format
multiple file formats
Form of item
  • online
  • electronic
Governing access note
Use of this electronic resource may be governed by a license agreement which restricts use to the European University Institute community. Each user is responsible for limiting use to individual, non-commercial purposes, without systematically downloading, distributing, or retaining substantial portions of information, provided that all copyright and other proprietary notices contained on the materials are retained. The use of software, including scripts, agents, or robots, is generally prohibited and may result in the loss of access to these resources for the entire European University Institute community
Isbn
9783319732411
Level of compression
uncompressed
Media category
computer
Media MARC source
rdamedia
Media type code
  • c
Other control number
10.1007/978-3-319-73241-1
Other physical details
60 illustrations, 26 illustrations in color.
Quality assurance targets
absent
Reformatting quality
access
Specific material designation
remote
System control number
(OCoLC)1021882143

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