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North Carolina State University, Centers, Institutes, and Special Programs
Explore the Research Trends
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This is a list of the 20 publications most recently added to the Research Profiles database. This shows the publication activity that is ongoing at the institution.The source of publications for this application is Scopus.
1.
Sastry G. Pantula
Statistics: A key to innovation in a data-centric world!
2.
My trip to the hill
3.
David A. Dickey; Sastry G. Pantula
Determining the order of differencing in autoregressive processes
4.
Sun Hongguang; Sastry G. Pantula
Testing for trends in correlated data
5.
Young J. Park; Sastry G. Pantula
Variance estimators in the Chu-white test for structural change
6.
Rogelio Q. Ramos; Sastry G. Pantula
Estimation of nonlinear random coefficient models
7.
T. Etchison; C. Brownie; S.G. Pantula
A portmanteau test for spatial ARMA models
8.
Tonya Etchison; Sastry G. Pantula; Cavell Brownie
Partial autocorrelation function for spatial processes
9.
Sastry G. Pantula; Wayne A. Fuller
The large sample distribution of the roots of the second order autoregressive polynomial
10.
Dongwan Shin; Sastry G. Pantula
Testing for a unit root in autoregressive processes with systematic but incomplete sampling
11.
Ji Zhang; Sastry G. Pantula; Dennis D. Boos
Robust methods for testing the pattern of a single covariance matrix
12.
Sastry G. Pantula; Alastair Hall
Testing for unit roots in autoregressive moving average models. An instrumental variable approach
13.
B. Schaalje; J. Zhang; S.G. Pantula; K.H. Pollock
Analysis of repeated-measurements data from randomized block experiments
14.
Yasuo Amemiya; Wayne A Fuller; Sastry G Pantula
The asymptotic distributions of some estimators for a factor analysis model
15.
Samindranath Sengupta; Bikas K. Sinha; Sastry G. Pantula
Some inferential aspects of finite population sampling with additional resources
16.
Krishna B. Athreya; Sastry G. Pantula
MIXING PROPERTIES OF HARRIS CHAINS AND AUTOREGRESSIVE PROCESSES.
17.
A note on strong mixing of ARMA processes
18.
S.G. Pantula; K.H. Pollock
Nested analysis of variance with autocorrelated errors.
19.
Mean estimation bias in least squares estimation of autoregressive processes