Tiejun Tong
Statistics and Probability · 2005–2020
A researcher in the Science corpus: 5 papers; trusts 10 researchers and is trusted by 4 researchers here, as inferred from the citation graph.
Subfields
- Statistics and Probability — 22 citations into it; #7,393 of 12,932 by trust here, #4,964 by citations
Whom Tiejun Tong trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Grace Wahba
- Chong Gu
- Simon N. Wood
- Dan Hall
- Lixing Zhu
- Jianqing Fan
- Hua Liang
- Julian P. T. Higgins
- Liugen Xue
Who trusts Tiejun Tong overall
Papers from Tiejun Tong's perspective
Ordered by how strongly the researchers Tiejun Tong trusts endorse each paper. Same corpus, a different order for every researcher.
- Spline Models for Observational Data
- Smoothing Spline Anova Models
- Nonparametric regression with errors in variables
- Nonparametric Function Estimation for Clustered Data When the Predictor is Measured without/with Error
- Measuring inconsistency in meta-analyses (British medical journal)
- Mathematical methods of statistics
- Cochrane Handbook for Systematic Reviews of Interventions (International Coaching Psychology Review)
- Estimating Mean and Standard Deviation from the Sample Size, Three Quartiles, Minimum, and Maximum
- Mathematical Statistics
- Estimating the sample mean and standard deviation from the sample size, median, range and/or interquartile range (BMC Medical Research Methodology)
Their papers
- Estimating the sample mean and standard deviation from the sample size, median, range and/or interquartile range (2014) — 9,831 citations
- Optimally estimating the sample mean from the sample size, median, mid-range, and/or mid-quartile range (2015) — 3,352 citations
- Estimating residual variance in nonparametric regression using least squares (2005) — 73 citations
- Optimally estimating the sample standard deviation from the five‐number summary (2020) — 535 citations
- SIMEX estimation for single-index model with covariate measurement error (2016) — 77 citations