Flexible Nonparametric Curve Estimation

Edited by Hassan Doosti ()

in Springer Books from Springer

Date: 2024
ISBN: 978-3-031-66501-1
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Chapters in this book:

Tilted Nonparametric Regression Function Estimation

Farzaneh Boroumand, Mohammad T. Shakeri, Nino Kordzakhia, Mahdi Salehi and Hassan Doosti

Some Asymptotic Properties of Kernel Density Estimation Under Length-Biased and Right-Censored Data

M. Akbari, M. Akbari and V. Fakoor

Functional Data Analysis: Key Concepts and Applications

S. Mohammad E. Hosseini-Nasab and Hassan Sharghi

Convolution Process Revisited in Finite Location Mixtures and GARFISMA Long Memory Time Series

G. S. Dissanayake

Non-parametric Estimation of Tsallis Entropy and Residual Tsallis Entropy Under ρ $$\rho $$ -Mixing Dependent Data

R. Maya, M. R. Irshad, Christophe Chesneau, Francesco Buono and Maria Longobardi

Non-parametric Intensity Estimation for Spatial Point Patterns with R

Jorge Mateu and Mehdi Moradi

A Censored Semicontinuous Regression for Modeling Clustered/Longitudinal Zero-Inflated Rates and Proportions: An Application to Colorectal Cancer

Leili Tapak, Omid Hamidi, Payam Amini and Hassan Doosti

Singular Spectrum Analysis

Masoud Yarmohammadi

Hellinger-Bhattacharyya Cross-Validation for Shape-Preserving Multivariate Wavelet Thresholding

Carlos Aya-Moreno, Gery Geenens and Spiridon Penev

Bayesian Nonparametrics and Mixture Modelling

Michail Papathomas

A Kernel Scale Mixture of the Skew-Normal Distribution

Mahdi Salehi, Andriette Bekker and Mohammad Arashi

M-Estimation of an Intensity Function and an Underlying Population Size Under Random Right Truncation

Dario Gasbarra and Sangita Kulathinal

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DOI: 10.1007/978-3-031-66501-1

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