Christian H. Weiβ

Statistics and Probability · 2007–2018

A researcher in the Science corpus: 18 papers; trusts 33 researchers and is trusted by 44 researchers here, as inferred from the citation graph.

Subfields

• Statistics and Probability — 71 citations into it; #2,088 of 12,932 by trust here, #3,255 by citations
• Finance — 44 citations into it; #581 of 10,518 by trust here, #2,010 by citations
• Artificial Intelligence — 16 citations into it; #12,774 of 35,345 by trust here, #21,878 by citations
• Economics and Econometrics — 11 citations into it
• Control and Systems Engineering — 8 citations into it
• Demography — 6 citations into it
• Management Science and Operations Research — 6 citations into it; #544 of 11,946 by trust here, #2,185 by citations

Whom Christian H. Weiβ trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Robert C. Jung
2. Murat Caner Testik
3. William H. Woodall
4. Andréas Heinen
5. Fukang Zhu
6. Brendan McCabe
7. Rong Zhu
8. Kurt Brännäs
9. A. Tremayne
10. Martin S. Ridout

Who trusts Christian H. Weiβ overall

1. W. Barreto‐Souza
2. Konstantinos Fokianos
3. Sangyeol Lee
4. Magda Monteiro
5. Marcelo Bourguignon
6. Miroslav M. Ristic
7. Fukang Zhu
8. Hassan Salah Hassan Bakouch
9. Cathy W. S. Chen
10. Murat Caner Testik

Papers from Christian H. Weiβ's perspective

Ordered by how strongly the researchers Christian H. Weiβ trusts endorse each paper. Same corpus, a different order for every researcher.

1. Testing Serial Dependence in Time Series Models of Counts
2. Estimation in conditional first order autoregression with discrete support
3. Thinning operations for modeling time series of counts—a survey
4. Introduction to Statistical Quality Control, Fifth Edition
5. CONTINUOUS INSPECTION SCHEMES
6. Introduction to Statistical Quality Control (Technometrics)
7. CUSUM Monitoring of First-Order Integer-Valued Autoregressive Processes of Poisson Counts
8. Cumulative Sum Charts and Charting for Quality Improvement (Technometrics)
9. Theory & Methods: Non‐Gaussian Conditional Linear AR(1) Models
10. Martingale Limit Theory and Its Application

Their papers

• Serial dependence and regression of Poisson INARMA models (2008) — 64 citations
• CUSUM Monitoring of First-Order Integer-Valued Autoregressive Processes of Poisson Counts (2009) — 97 citations
• Thinning operations for modeling time series of counts—a survey (2008) — 419 citations
• Integer-valued autoregressive models for counts showing underdispersion (2013) — 58 citations
• The combined INAR(p) models for time series of counts (2008) — 49 citations
• The INARCH(1) Model for Overdispersed Time Series of Counts (2010) — 77 citations
• Detecting mean increases in Poisson INAR(1) processes with EWMA control charts (2011) — 51 citations
• Monitoring correlated processes with binomial marginals (2009) — 58 citations
• Binomial AR(1) processes: moments, cumulants, and estimation (2013) — 48 citations
• EWMA Monitoring of Correlated Processes of Poisson Counts (2009) — 53 citations
• An Introduction to Discrete-Valued Time Series (2018) — 351 citations
• An INAR(1) process for modeling count time series with equidispersion, underdispersion and overdispersion (2017) — 51 citations
• Diagnosing and modeling extra-binomial variation for time-dependent counts (2014) — 47 citations
• BINOMIAL AUTOREGRESSIVE PROCESSES WITH DENSITY‐DEPENDENT THINNING (2014) — 65 citations
• Parameter estimation for binomial AR(1) models with applications in finance and industry (2013) — 62 citations
• The Poisson INAR(1) CUSUM chart under overdispersion and estimation error (2011) — 55 citations
• A New Class of Autoregressive Models for Time Series of Binomial Counts (2009) — 69 citations
• StatSoft, Inc., Tulsa, OK.: STATISTICA, Version 8 (2007) — 128 citations