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Matrices, Statistics and Big Data

Overview of attention for book
Cover of 'Matrices, Statistics and Big Data'

Table of Contents

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    Book Overview
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    Chapter 1 Further Properties of the Linear Sufficiency in the Partitioned Linear Model
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    Chapter 2 Hybrid Model for Recurrent Event Data
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    Chapter 3 A New Look at Combining Information from Stratum Submodels
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    Chapter 4 Ingram Olkin (1924–2016): An Appreciation for a People Person
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    Chapter 5 A Notion of Positive Definiteness for Arithmetical Functions
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    Chapter 6 Some Issues in Generalized Linear Modeling
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    Chapter 7 Orthogonal Block Structure and Uniformly Best Linear Unbiased Estimators
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    Chapter 8 Hadamard Matrices on Error Detection and Correction: Useful Links to BIBD
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    Chapter 9 Covariance Matrix Regularization for Banded Toeplitz Structure via Frobenius-Norm Discrepancy
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    Chapter 10 Penalized Relative Error Estimation of a Partially Functional Linear Multiplicative Model
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    Chapter 11 High-Dimensional Regression Under Correlated Design: An Extensive Simulation Study
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    Chapter 12 An Efficient Estimation Strategy in Autoregressive Conditional Poisson Model with Applications to Hospital Emergency Department Data
Attention for Chapter 12: An Efficient Estimation Strategy in Autoregressive Conditional Poisson Model with Applications to Hospital Emergency Department Data
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Citations

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Chapter title
An Efficient Estimation Strategy in Autoregressive Conditional Poisson Model with Applications to Hospital Emergency Department Data
Chapter number 12
Book title
Matrices, Statistics and Big Data
Published by
Springer, Cham, June 2016
DOI 10.1007/978-3-030-17519-1_12
Book ISBNs
978-3-03-017518-4, 978-3-03-017519-1
Authors

S. Ejaz Ahmed, Khalifa Es-Sebaiy, Abdulkadir Hussein, Idir Ouassou, Anne Snowdon, Ahmed, S. Ejaz, Es-Sebaiy, Khalifa, Hussein, Abdulkadir, Ouassou, Idir, Snowdon, Anne

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 4 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 4 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 2 50%
Unknown 2 50%
Readers by discipline Count As %
Agricultural and Biological Sciences 1 25%
Decision Sciences 1 25%
Unknown 2 50%

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