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Trends and Perspectives in Linear Statistical Inference LinStat, Istanbul, August 2016

Aus der Reihe Contributions to Statistics

97,99 €

inkl. gesetzl. MwSt., Versandkostenfrei

Beschreibung

Produktdetails

Einband

Gebundene Ausgabe

Erscheinungsdatum

02.02.2018

Abbildungen

X, 257 p. 60 illus., 26 illus. in color.

Herausgeber

Müjgan Tez + weitere

Verlag

Springer

Seitenzahl

257

Maße (L/B/H)

24,1/16/2,1 cm

Gewicht

571 g

Sprache

Englisch

ISBN

978-3-319-73240-4

Beschreibung

Portrait


Müjgan Tez
is a professor at the Department of Mathematics of the Marmara University in Istanbul, Turkey. Her research interests include nonlinear models, measurement error of nonlinear models, geometry of statistical models, variance and covariance analysis, mixed models and meta-analysis.

Dietrich von Rosen
graduated in mathematical statistics at Stockholm University, Sweden and is currently a professor at the Department of Energy and Technology of the Swedish University of Agricultural Sciences. His main research interest is multivariate analysis and its extensions, including repeated measurements analysis and high-dimensional analysis. 

Produktdetails

Einband

Gebundene Ausgabe

Erscheinungsdatum

02.02.2018

Abbildungen

X, 257 p. 60 illus., 26 illus. in color.

Herausgeber

Verlag

Springer

Seitenzahl

257

Maße (L/B/H)

24,1/16/2,1 cm

Gewicht

571 g

Sprache

Englisch

ISBN

978-3-319-73240-4

Herstelleradresse

Springer-Verlag KG
Sachsenplatz 4-6
1201 Wien
AT

Email: GPSR Kontakt

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  • Produktbild: Trends and Perspectives in Linear Statistical Inference
  • Produktbild: Trends and Perspectives in Linear Statistical Inference

  • 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).