Empirical Bernstein and betting confidence intervals for randomized quasi-Monte Carlo
A. Jain; F. J. Hickernell; A. B. Owen; A. G. Sorokin
Inf. Inference
Publications
Fred Hickernell’s publications, organized by year and searchable by title, author, and venue.
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144 records · 1977–2026
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2026
QMCPy: A Python framework for (quasi-)Monte Carlo algorithms
A. G. Sorokin; F. J. Hickernell; S.-C. T. Choi; R. Jagadeeswaran; P. Robbe; A. Jain
J. Open Source Software, 11
QMCPy: A quasi-Monte Carlo Python library (version 2.3)
S.-C. T. Choi; F. J. Hickernell; R. Jagadeeswaran; A. Jain; A. Sorokin
Quasi-Monte Carlo methods: What, why, and how?
F. J. Hickernell; N. Kirk; A. G. Sorokin
Monte Carlo and quasi-Monte Carlo methods: MCQMC, Waterloo, Canada, August 2024
2025
Fast bayesian multilevel quasi-Monte Carlo
A. G. Sorokin; P. Robbe; G. Geraci; M. S. Eldred; F. J. Hickernell
Fast Gaussian process regression for high dimensional functions with derivative information
A. G. Sorokin; F. J. Hickernell; P. Robbe
Proc. Mach. Learn. res.
QMCPy: A quasi-Monte Carlo Python library (versions 1.0–2.0)
S.-C. T. Choi; F. J. Hickernell; R. Jagadeeswaran; M. McCourt; A. Sorokin
2024
A unified treatment of tractability for approximation problems defined on Hilbert spaces
O. Emenike; F. J. Hickernell; P. Kritzer
J. Complexity, 84, 101856
Challenges in developing great quasi-Monte Carlo software
S.-C. T. Choi; Y. Ding; F. J. Hickernell; R. Jagadeeswaran; A. G. Sorokin
Monte Carlo and quasi-Monte Carlo methods: MCQMC, Linz, austria, July 2022, 209-222
Computationally efficient and error aware surrogate construction for numerical solutions of subsurface flow through porous media
A. G. Sorokin; A. Pachalieva; D. O’Malley; J. M. Hyman; F. J. Hickernell; N. W. Hengartner
Adv. Water Resources, 193, 104836
2022
Fast automatic Bayesian cubature using Sobol’ sampling
R. Jagadeeswaran; F. J. Hickernell
Advances in modeling and simulation: Festschrift in honour of Pierre L’Ecuyer, 301-318
Guaranteed automatic integration library (GAIL): An open-source MATLAB library for function approximation, minimization, and integration
X. Tong; S.-C. T. Choi; Y. Ding; F. J. Hickernell; L. Jiang; Ll. A. Jiménez Rugama; R. Jagadeeswaran; K. Zhang; Y. Zhang; X. Zhou
J. Open Res. Software, 10, 7
Quasi-Monte Carlo software
S.-C. T. Choi; F. J. Hickernell; R. Jagadeeswaran; M. J. McCourt; A. G. Sorokin
Monte Carlo and quasi-Monte Carlo methods: MCQMC, Oxford, england, August 2020, 23-50
2021
GAIL: Guaranteed Automatic Integration Library (versions 1.0–2.3.2)
S.-C. T. Choi; Y. Ding; F. J. Hickernell; L. Jiang; Ll. A. Jiménez Rugama; D. Li; R. Jagadeeswaran; X. Tong; K. Zhang; Y. Zhang; X. Zhou
2020
Adaptive approximation for multivariate linear problems with inputs lying in a cone
Y. Ding; F. J. Hickernell; P. Kritzer; S. Mak
Multivariate algorithms and information-based complexity, 109-145
An adaptive algorithm employing continuous linear functionals
Y. Ding; F. J. Hickernell; Ll. A. Jiménez Rugama
Monte Carlo and quasi-Monte Carlo methods: MCQMC, Rennes, france, July 2018, 324, 161-181
Exponential tractability of linear tensor product problems
F. J. Hickernell; P. Kritzer; H. Woźniakowski
2018 MATRIX annals, 61-78
GAIL: Guaranteed Automatic Integration Library (versions 1.0–2.3.1)
S.-C. T. Choi; Y. Ding; F. J. Hickernell; L. Jiang; Ll. A. Jiménez Rugama; D. Li; R. Jagadeeswaran; X. Tong; K. Zhang; Y. Zhang; X. Zhou
Is a transformed low discrepancy design also low discrepancy?
Y. Li; L. Kang; F. J. Hickernell
Contemporary experimental design, multivariate analysis and data mining (festschrift in honour of professor kai-Tai fang), 69-92
Multivariate algorithms and information-based complexity
F. J. Hickernell; P. Kritzer (editors)
DeGruyter
2019
Comment on “Probabilistic integration: A role in statistical computation?”
F. J. Hickernell; R. Jagadeeswaran
Statist. Sci., 34, 23-28
Fast automatic Bayesian cubature using lattice sampling
R. Jagadeeswaran; F. J. Hickernell
Stat. Comput., 29, 1215-1229
GAIL: Guaranteed Automatic Integration Library (versions 1.0–2.3)
S.-C. T. Choi; Y. Ding; F. J. Hickernell; L. Jiang; Ll. A. Jiménez Rugama; D. Li; R. Jagadeeswaran; X. Tong; K. Zhang; Y. Zhang; X. Zhou
2018
Adaptive quasi-Monte Carlo methods for cubature
F. J. Hickernell; Ll. A. Jiménez Rugama; D. Li
Contemporary computational mathematics — a celebration of the 80th birthday of Ian Sloan, 597-619
Monte Carlo simulation, automatic stopping criteria for
F. J. Hickernell; S.-C. T. Choi; L. Jiang; Ll. A. Jiménez Rugama
Wiley StatsRef-statistics reference online
The trio identity for quasi-Monte Carlo error analysis
F. J. Hickernell
Monte Carlo and quasi-Monte Carlo methods: MCQMC, Stanford, USA, August 2016, 3-27
2017
Iterative construction of replicated designs based on Sobol’ sequences
L. Gilquin; Ll. A. Jiménez Rugama; E. Arnaud; F. J. Hickernell; H. Monod; C. Prieur
C. R. Math. Acad. Sci. Paris, 355, 10-14
Local adaption for approximation and minimization of univariate functions
S.-C. T. Choi; Y. Ding; F. J. Hickernell; X. Tong
J. Complexity, 40, 17-33
2016
Adaptive multidimensional integration based on rank-1 lattices
Ll. A. Jiménez Rugama; F. J. Hickernell
Monte Carlo and quasi-Monte Carlo methods: MCQMC, Leuven, Belgium, April 2014, 163, 407-422
Reliable adaptive cubature using digital sequences
F. J. Hickernell; Ll. A. Jiménez Rugama
Monte Carlo and quasi-Monte Carlo methods: MCQMC, Leuven, Belgium, April 2014, 163, 367-383
Tractability of the radial function approximation problem with kernels of a product form
X. Zhou; F. J. Hickernell
Monte Carlo and quasi-Monte Carlo methods: MCQMC, Leuven, Belgium, April 2014, 163, 583-598
2015
GAIL—Guaranteed Automatic Integration Library in MATLAB: Documentation for version 2.1
Sou-Cheng T. Choi; Yuhan Ding; Fred J. Hickernell; Lan Jiang; Ll. A. Jiménez Rugama; Xin Tong; Yizhi Zhang; Xuan Zhou
arXiv:1503.06544
Solving support vector machines in reproducing kernel Banach spaces with positive definite functions
G. E. Fasshauer; F. J. Hickernell; Q. Ye
Appl. Comput. Harmon. Anal., 38, 115-139
2014
Design of experiments for linear regression models when gradient information is available
Y. Li; F. J. Hickernell
J. Statist. Plann. Inference, 144, 141-151
Guaranteed conservative confidence intervals for means of Bernoulli random variables
L. Jiang; F. J. Hickernell
Initiating a programmatic assessment report
Z. Berkaliev; S. Devi; G. E. Fasshauer; F. J. Hickernell; O. Kartal; X. Li; P. McCray; S. Whitney; J. S. Zawojewski
PRIMUS, 24, 403-420
On Hamming distance matrix
X. Y. Zeng; F. J. Hickernell
Comm. Appl. Math. Comput., 28, 502-509
The cost of deterministic, adaptive, automatic algorithms: Cones, not balls
N. Clancy; Y. Ding; C. Hamilton; F. J. Hickernell; Y. Zhang
J. Complexity, 30, 21-45
2013
GAIL: Guaranteed Automatic Integration Library (version 1)
S.-C. T. Choi; Y. Ding; F. J. Hickernell; L. Jiang; Y. Zhang
Guaranteed conservative fixed width confidence intervals via Monte Carlo sampling
F. J. Hickernell; L. Jiang; Y. Liu; A. B. Owen
Monte Carlo and quasi-Monte Carlo methods 2012, 65, 105-128
Reproducing kernel Banach spaces with the norm
G. Song; H. Zhang; F. J. Hickernell
Appl. Comput. Harmon. Anal., 34, 96-116
2012
Average case approximation: Convergence and tractability of Gaussian kernels
G. E. Fasshauer; F. J. Hickernell; H. Woźniakowski
Monte Carlo and quasi-Monte Carlo methods 2010, 23, 329-344
Multivariate interpolation with increasingly flat radial basis functions of finite smoothness
G. Song; J. Riddle; G. E. Fasshauer; F. J. Hickernell
Adv. Comput. Math., 36, 485-501
On dimension-independent rates of convergence for function approximation with Gaussian kernels
G. E. Fasshauer; F. J. Hickernell; H. Woźniakowski
SIAM J. Numer. Anal., 50, 247-271
Weighted compound integration rules with higher order convergence for all
F. J. Hickernell; P. Kritzer; F. Y. Kuo; D. Nuyens
Numer. Algorithms, 59, 161-183
2011
Deterministic multi-level algorithms for infinite-dimensional integration on
B. Niu; F. J. Hickernell; T. Müller-Gronbach; K. Ritter
J. Complexity, 27, 331-351
Optimality criteria for multiresponse linear models based on predictive ellipsoids
X. Liu; R.-X. Yue; F. J. Hickernell
Statist. Sinica, 21, 421-432
Orthogonal bases for polynomial regression with derivative information in uncertainty quantification
Y. Li; M. Anitescu; O. Roderick; F. J. Hickernell
Internat. J. Uncertain. Quant., 1, 297-320
2010
Monte Carlo simulation of stochastic integrals when the cost of function evaluation is dimension dependent
B. Niu; F. J. Hickernell
Monte Carlo and quasi-Monte Carlo methods 2008, 545-560
Multi-level Monte Carlo algorithms for infinite-dimensional integration on
F. J. Hickernell; T. Müller-Gronbach; B. Niu; K. Ritter
J. Complexity, 26, 229-254
On energy, discrepancy and group invariant measures on measurable subsets of Euclidean space
S. Damelin; F. J. Hickernell; D. L. Ragozin; X. Y. Zeng
J. Fourier Anal. Appl., 16, 813-839
2009
A multivariate fast discrete Walsh transform with an application to function interpolation
K. I. Liu; J. Dick; F. J. Hickernell
Math. Comp., 78, 1573-1591
Simplified analytical expressions for numerical differentiation via cycle index
F. J. Hickernell; S. Yang
J. Comput. Appl. Math., 224, 433-443
Spline methods using integration lattices and digital nets
X. Y. Zeng; P. Kritzer; F. J. Hickernell
Constr. Approx., 30, 529-555
Universal optimality of net and lattice designs
M. Ai; F. J. Hickernell
Sci. China Ser. A, 52, 2309-2320
2008
An algorithm-driven approach to error analysis for multidimensional integration
F. J. Hickernell; J. Dick
Int. J. Numer. Anal. Model., 5, 167-189
Explicit Hermite interpolation polynomials via the cycle index with applications
F. J. Hickernell; S. Yang
Int. J. Numer. Anal. Model., 5, 457-465
Optimal foldover plans for regular -level fractional factorial designs
M. Ai; F. J. Hickernell; D. K. J. Lin
Statist. Probab. Lett., 78, 896-903
Some necessary uniform tests for spherical symmetry
J. J. Liang; K. T. Fang; F. J. Hickernell
Ann. Inst. Statist. Math., 60, 679-696
Tractability of linear multivariate problems in the average case setting
F. J. Hickernell; G. W. Wasilkowski; H. Woźniakowski
Monte Carlo and quasi-Monte Carlo methods 2006, 423-452
Uniform experimental design
K. T. Fang; F. J. Hickernell
Encyclopedia of statistics in quality and reliability, 2037-2040
2007
Energy and discrepancy as designs for numerical computation
S. B. Damelin; F. J. Hickernell
Proc. 2007 international conference on computational and mathematical methods in science and engineering, 143-147
2006
A stabilized uniform q-q plot to detect non-multinormality
K. T. Fang; J. J. Liang; F. J. Hickernell; R. Li
Random walks, sequential analysis and related topics, 254-268
Connections among different criteria for asymmetrical fractional factorial designs
M. Q. Liu; K. T. Fang; F. J. Hickernell
Statist. Sinica, 16, 1285-1297
Error analysis of splines for periodic problems using lattice designs
X. Y. Zeng; K. T. Leung; F. J. Hickernell
Monte Carlo and quasi-Monte Carlo methods 2004, 501-514
Experimental designs using digital nets with small numbers of points
K. I. Liu; F. J. Hickernell
Monte Carlo and quasi-Monte Carlo methods 2004, 343-354
Koksma-Hlawka inequality
F. J. Hickernell
Encyclopedia of statistical sciences, 6, 3862-3867
Linear error-block codes
K. Feng; L. Xu; F. J. Hickernell
Finite Fields Appl., 12, 638-652
Strong tractability of quasi-Monte Carlo quadrature using nets for certain Banach spaces
R. X. Yue; F. J. Hickernell
SIAM J. Numer. Anal., 44, 2559-2583
The relationship between discrepancies defined on a domain and on its subset
M. Q. Liu; F. J. Hickernell
Metrika, 63, 317-327
2005
A piece-wise constant algorithm for weighted approximation over bounded or unbounded regions
F. J. Hickernell; I. H. Sloan; G. W. Wasilkowski
SIAM J. Numer. Anal., 43, 1003-1020
Approximation on anisotropic multivariate Besov classes of functions by standard information
G. Fang; F. J. Hickernell; H. Li
J. Complexity, 294-313
Control variates for quasi-Monte Carlo
F. J. Hickernell; C. Lemieux; A. B. Owen
Statist. Sci., 20, 1-31
Granularity and balance in experimental design
F. J. Hickernell
Contemporary multivariate analysis and experimental design, 2, 185-203
Strong tractability of integration using scrambled Niederreiter points
R. X. Yue; F. J. Hickernell
Math. Comp., 74, 1871-1893
2004
A scalable low discrepancy point generator for parallel computing
K. I. Liu; F. J. Hickernell
Parallel and distributed processing and applications, 3358, 257-262
On strong tractability of weighted multivariate integration
F. J. Hickernell; I. H. Sloan; G. W. Wasilkowski
Math. Comp., 73, 1903-1911
On tractability of weighted integration for certain Banach spaces of functions
F. J. Hickernell; I. H. Sloan; G. W. Wasilkowski
Monte Carlo and quasi-Monte Carlo methods 2002, 51-71
On tractability of weighted integration over bounded and unbounded regions in
F. J. Hickernell; I. H. Sloan; G. W. Wasilkowski
Math. Comp., 73, 1885-1901
Optimal quadrature for Haar wavelet spaces
S. Heinrich; F. J. Hickernell; R. X. Yue
Math. Comp., 73, 259-277
The strong tractability of multivariate integration using lattice rules
F. J. Hickernell; I. H. Sloan; G. W. Wasilkowski
Monte Carlo and quasi-Monte Carlo methods 2002, 259-273
2003
Algorithm 823: Implementing scrambled digital nets
H. S. Hong; F. J. Hickernell
ACM Trans. Math. Software, 29, 95-109
My dream quadrature rule
F. J. Hickernell
J. Complexity, 19, 420-427
The distribution of the discrepancy of scrambled digital -nets
H. S. Hong; F. J. Hickernell; G. Wei
Math. Comput. Simulation, 62, 335-345
The existence of good extensible rank-1 lattices
F. J. Hickernell; H. Niederreiter
J. Complexity, 19, 286-300
Trigonometric spectral collocation methods on lattices
D. Li; F. J. Hickernell
Recent advances in scientific computing and partial differential equations, 330, 121-132
2002
-optimality and minimum discrepancy in 2-level supersaturated designs
M. Q. Liu; F. J. Hickernell
Statist. Sinica, 12, 931-939
An historical overview of lattice point sets
Y. Wang; F. J. Hickernell
Monte Carlo and quasi-Monte Carlo methods 2000, 158-167
Monte Carlo and quasi-Monte Carlo methods 2000
K. T. Fang; F. J. Hickernell; H. Niederreiter (editors)
Springer-Verlag, Berlin
Obtaining convergence for lattice quadrature rules
F. J. Hickernell
Monte Carlo and quasi-Monte Carlo methods 2000, 274-289
Quasi-Monte Carlo methods and their randomizations
F. J. Hickernell; H. S. Hong
Applied probability, 26, 59-77
Robust designs for smoothing spline ANOVA models
R. X. Yue; F. J. Hickernell
Metrika, 55, 161-176
The discrepancy and gain coefficients of scrambled digital nets
R. X. Yue; F. J. Hickernell
J. Complexity, 18, 135-151
The error bounds and tractability of quasi-Monte Carlo algorithms in infinite dimension
F. J. Hickernell; X. Wang
Math. Comp., 71, 1641-1661
Uniform designs limit aliasing
F. J. Hickernell; M. Q. Liu
Biometrika, 89, 893-904
2001
Integration and approximation based on scramble sampling in arbitrary dimensions
R. X. Yue; F. J. Hickernell
J. Complexity, 17, 881-897
Integration of multivariate Haar wavelet series
S. Heinrich; F. J. Hickernell; R. X. Yue
Wavelet analysis and its applications, 99-106
Special issue on the complexity of multivariate problems
F. J. Hickernell; H. Woźniakowski (editors)
Academic Press, Orlando, FL, 17, no. 4
Testing multivariate uniformity and its applications
J. J. Liang; K. T. Fang; F. J. Hickernell; R. Li
Math. Comp., 70, 337-355
The price of pessimism for multidimensional quadrature
F. J. Hickernell; H. Woźniakowski
J. Complexity, 17, 625-659
Tractability of multivariate integration for periodic functions
F. J. Hickernell; H. Woźniakowski
J. Complexity, 17, 660-682
2000
Discrepancy measures of uniformity
F. J. Hickernell; M. Q. Liu; Y. C. Yam
J. Chinese Statistical Association, 38, 353-373
Extensible lattice sequences for quasi-Monte Carlo quadrature
F. J. Hickernell; H. S. Hong; P. L’Écuyer; C. Lemieux
SIAM J. Sci. Comput., 22, 1117-1138
Integration and approximation in arbitrary dimensions
F. J. Hickernell; H. Woźniakowski
Adv. Comput. Math., 12, 25-58
Randomized Halton sequences
X. Wang; F. J. Hickernell
Math. Comput. Modelling, 32, 887-899
The mean square discrepancy of scrambled -sequences
F. J. Hickernell; R. X. Yue
SIAM J. Numer. Anal., 38, 1089-1112
What affects the accuracy of quasi-Monte Carlo quadrature?
F. J. Hickernell
Monte Carlo and quasi-Monte Carlo methods 1998, 16-55
1999
Goodness-of-fit statistics, discrepancies and robust designs
F. J. Hickernell
Statist. Probab. Lett., 44, 73-78
Radial basis function approximation as smoothing splines
F. J. Hickernell; Y. C. Hon
Appl. Math. Comput., 102, 1-24
Robust designs for fitting linear models with misspecification
R. X. Yue; F. J. Hickernell
Statist. Sinica, 9, 1053-1069
The asymptotic efficiency of randomized nets for quadrature
F. J. Hickernell; H. S. Hong
Math. Comp., 68, 767-791
1998
A generalized discrepancy and quadrature error bound
F. J. Hickernell
Math. Comp., 67, 299-322
Lattice rules: How well do they measure up?
F. J. Hickernell
Random and quasi-random point sets, 138, 109-166
Radial basis function approximation of the surface wind field from scattered data
F. J. Hickernell; Y. C. Hon
Internat. J. Appl. Sci. Comput., 4, 221-247
1997
A goodness-of-fit test for linearity of a stochastic regression model
L. X. Zhu; F. J. Hickernell; H. Z. An
Chinese J. Contemp. Math., 18, 199-206
A new class of consistent estimators for stochastic linear regressive models
H. Z. An; F. J. Hickernell; L. X. Zhu
J. Multivariate Anal., 63, 242-258
A simple multi-start algorithm for global optimization
F. J. Hickernell; Y. X. Yuan
Oper. Res. Trans., 1, 1-11
Computing multivariate normal probabilities using rank-1 lattice sequences
F. J. Hickernell; H. S. Hong
Proceedings of the workshop on scientific computing, 209-215
Statistical modeling for the optimal deposition of sputtered piezoelectric films
F. J. Hickernell; R. X. Yue; F. S. Hickernell
IEEE Trans. Ultrason., Ferroelectrics & Frequency Control, 44, 615-623
1996
Comment on “Experimental design and observation for large systems”, by R. A. Bates et. al.
K. T. Fang; F. J. Hickernell
J. Roy. Statist. Soc. B, 58, 103
Quadrature error bounds with applications to lattice rules
F. J. Hickernell
SIAM J. Numer. Anal., 33, 1995-2016
Regression transformation diagnostics for explanatory variables
B. C. Wei; F. J. Hickernell
Statist. Sinica, 6, 433-454
Some global optimization algorithms in statistics
K. T. Fang; F. J. Hickernell; P. Winker
Operations research and its applications, 2, 14-24
The mean square discrepancy of randomized nets
F. J. Hickernell
ACM Trans. Model. Comput. Simul., 6, 274-296
1995
A comparison of random and quasirandom points for multidimensional quadrature
F. J. Hickernell
Monte Carlo and quasi-Monte Carlo methods in scientific computing, 106, 213-227
The uniform design and its applications
K. T. Fang; F. J. Hickernell
Bull. Inst. Internat. Statist., Session, Book 1, 333-349
Universally consistent estimation for stochastic regression models
H. Z. An; F. J. Hickernell; L. X. Zhu
Chinese Sci. Bull., 40, 802-807
1994
A class of asymptotically optimal sequential tests for composite hypotheses
J. D. Chen; F. J. Hickernell
Sci. China Ser. A, 37, 1314-1324
1989
Linear stability of immiscible displacement processes in porous media
Y. C. Yortsos; F. J. Hickernell
SIAM J. Appl. Math., 49, 730-748
1988
Comp-u-calc (software and user’s manual/workbook)
W. Proskurowski; F. J. Hickernell
Saunders College Publishing
Simulation studies of the automatic control of a blast furnace process
M. K. Chan; M. J. Li; F. J. Hickernell; S. J. Hu; S. K. Ng; H. M. Ngai; C. C. Barnett; W. M. Holmes
Proc. 1988 summer computer simulation conference, 881-885
1987
Design of a calculus microcomputer laboratory
F. Hickernell; W. Proskurowski
Comput. Math. Appl., 14, 3-24
1986
Linear stability of miscible displacement processes in porous media in the absence of dispersion
F. J. Hickernell; Y. C. Yortsos
Stud. Appl. Math, 74, 93-115
1985
An upper bound on the growth rate of a linear instability in a homogeneous shear flow
F. J. Hickernell
Stud. Appl. Math, 72, 87-93
The use of microcomputers in the teaching of calculus
F. Hickernell; W. Proskurowski
Collegiate Microcomputer, 3, 111-125
1984
Teaching calculus with computers at USC
F. Hickernell; W. Proskurowski
SIAM News, 18, 5, 16
Time-dependent critical layers in shear flows on the beta-plane
F. J. Hickernell
J. Fluid Mech., 142, 431-449
1983
The evolution of large-horizontal-scale disturbances in marginally stable, inviscid, shear flows. I. Derivation of the amplitude evolution equations
F. J. Hickernell
Stud. Appl. Math, 69, 1-21
The evolution of large-horizontal-scale disturbances in marginally stable, inviscid, shear flows. II. Solutions of the Boussinesq equation
F. J. Hickernell
Stud. Appl. Math, 69, 23-49
1979
Conformational analysis of conjugated polyenes by nuclear magnetic resonance and low resolution microwave spectroscopy
W. E. Steinmetz; J. E. Pollard; J. M. Blaney; B. K. Winker; I. K. Mun; F. J. Hickernell; S. J. Hollenberg
J. Phys. Chem., 83, 1540-1545
1978
Conformational analysis of substituted alkenes by low resolution microwave spectroscopy
W. E. Steinmetz; J. Hollenberg; F. Hickernell; C. E. Orr; L. H. Scharpen
J. Phys. Chem., 82, 940-943
1977
On the steady state of an age dependent model for malaria
R. H. Elderkin; D. P. Berkowitz; F. A. Farris; C. F. Gunn; F. J. Hickernell; S. N. Kass; F. I. Mansfield; R. G. Taranto
Nonlinear systems and applications: An international conference, 491-512
The conformational analysis of 1-haloalkanes by low resolution microwave spectroscopy
W. E. Steinmetz; F. Hickernell; I. K. Mun; L. H. Scharpen
J. Molec. Spectro., 68, 173-182
The effect of the structure and composition of zinc oxide films on their elastic properties
F. J. Hickernell
Proc. 1977 IEEE ultrason. Symp., 309-312