Skip to main navigation
Skip to search
Skip to main content
Experts@Minnesota Home
Home
Profiles
Research units
University Assets
Projects and Grants
Research output
Press/Media
Datasets
Activities
Fellowships, Honors, and Prizes
Search by expertise, name or affiliation
Concave regression: value-constrained estimation and likelihood ratio-based inference
Charles R. Doss
Statistics (Twin Cities)
Research output
:
Contribution to journal
›
Article
›
peer-review
3
Scopus citations
Overview
Fingerprint
Fingerprint
Dive into the research topics of 'Concave regression: value-constrained estimation and likelihood ratio-based inference'. Together they form a unique fingerprint.
Sort by
Weight
Alphabetically
Mathematics
Constrained Estimation
100%
Likelihood Ratio Statistic
77%
Likelihood Ratio
71%
Null hypothesis
63%
Regression
51%
Convex Program
41%
Equality Constraints
36%
Limit Distribution
36%
Stochastic Processes
28%
Brownian Motion with Drift
23%
Hypothesis Test
19%
Concavity
18%
Nuisance Parameter
18%
Regression Function
17%
Inequality Constraints
17%
Optimality Conditions
16%
Meaning
15%
Univariate
14%
Confidence interval
13%
Convexity
13%
Limiting
13%
Restriction
11%
Partial
11%
Simulation
10%
Estimator
9%
Engineering & Materials Science
Statistics
50%
Random processes
35%
Brownian movement
20%