World Statistics Day 2020

October 20th is World Statistics Day! This year's theme is Better Data, Better Lives, and "emphasizes the critical role of high-quality official statistical information in analysis and informed policy decision-making in support of sustainable development." For World Statistics Day 2020, Springer presents you with a selection of the most popular book chapters and journal articles from the year. Consider publishing with us!

+++ Enjoy articles & chapters. Complimentary access ends November 30, 2020 +++

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Estimation within the new integrated system of household surveys in Germany 

by Saeideh Kamgar, Florian Meinfelder, Ralf Münnich & Hamidreza Navvabpour 

Distance geometry and data science 

by Leo Liberti

KOALA: a new paradigm for election coverage 

by Alexander Bauer, Andreas Bender, André Klima & Helmut Küchenhoff 

Bayesian Comparison of Latent Variable Models: Conditional Versus Marginal Likelihoods 

by Edgar C. Merkle, Daniel Furr & Sophia Rabe-Hesketh 

Multivariate ordinal regression models: an analysis of corporate credit ratings 

by Rainer Hirk, Kurt Hornik & Laura Vana

On a Statistical Transmission Model in Analysis of the Early Phase of COVID-19 Outbreak 

by Yifan Zhu & Ying Qing Chen

A Case Study Competition Among Methods for Analyzing Large Spatial Data 

by Matthew J. Heaton, Abhirup Datta, Andrew O. Finley, Reinhard Furrer, Joseph Guinness, Rajarshi Guhaniyogi, Florian Gerber, et al.

Applications of competing risks analysis in public health 

by Hyunsoon Cho, Dahhay Lee, Sanghee Lee & Sangbum Choi 

Multi-criteria Rankings with Interdependent Criteria: Case of EU Countries on Their Way to Healthy Lives and Well-Being 

by Iwona Konarzewska

Who's Missing? Undercounting and Underreporting 

by Teresa A. Sullivan

Vaccine Safety 

by Jozef Nauta

Science and Society: A Reflexive Approach to Official Statistics 

by Walter J. Radermacher

Data Analysis with R 

by Alfonso Zamora Saiz, Carlos Quesada González, Lluís Hurtado Gil, Diego Mondéjar Ruiz

Introduction to Privacy-Preserving Data Collection Sharing Methods for Global Health Research 

by Guanhong Miao, Hanzhi Gao, Yan Wang, Samuel S. Wu

Manipulating Network Data 

by Eric D. Kolaczyk and Gábor Csárdi

Statistical Learning as a Regression Problem 

by Richard A. Berk