AIA98

AIAA. Guide for the verification and validation of computational fluid dynamics simulations (aiaa g-077-1998). 1998.

Ala19

Mashhour Ahmad Alazwari. Interval-Based Uncertainty Modeling, Analysis and Design Optimization of Structural and Mechanical Systems. PhD thesis, University of Miami, 2019.

AM04

Matthew Allen and Kurt Maute. Reliability-based design optimization of aeroelastic structures. Structural and Multidisciplinary Optimization, 27(4):228–242, 2004. URL: https://doi.org/10.1007/s00158-004-0384-1, doi:10.1007/s00158-004-0384-1.

And17

Ted L Anderson. Fracture mechanics: fundamentals and applications. CRC press, 2017.

Ari34

Aristotle. Nichomachean Ethics. Volume 19. Harvard University Press, 1934.

Ash05

Michael F. Ashby. Materials selection in mechanical design. Butterworth-Heinemann, 3rd edition, 2005.

Bar96

Grigory Isaakovich Barenblatt. Scaling, self-similarity, and intermediate asymptotics: dimensional analysis and intermediate asymptotics. Cambridge University Press, 1996. URL: https://doi.org/10.1017/CBO9781107050242, doi:10.1017/CBO9781107050242.

Bat08

Battelle. MMPDS-04 : Metallic materials properties development and standardization (MMPDS). Washington, D.C. : Federal Aviation Administration; Columbus, Ohio : Battelle Memorial Institute distributor, 2008. URL: https://search.library.wisc.edu/catalog/9910411964202121.

BDI22

M. Benjamin, S. Domino, and G. Iaccarino. Challenges in the use of neural networks for large-eddy simulations. Center for Turbulence Research Annual Research Briefs, 2022.

BT00

Dimitri P Bertsekas and John N Tsitsiklis. Introduction to probability. Athena Scientinis, 2000.

Bla68

Henry Campbell Black. Black's Law Dictionary. West Publishing Co., 1968.

Box66

George E. P. Box. Use and abuse of regression. Technometrics, 8(4):625–629, 1966. URL: http://www.jstor.org/stable/1266635.

BHH+78

George EP Box, William H Hunter, Stuart Hunter, and others. Statistics for experimenters. Volume 664. John Wiley and sons New York, 1978.

BPK16

Steven L Brunton, Joshua L Proctor, and J Nathan Kutz. Discovering governing equations from data by sparse identification of nonlinear dynamical systems. Proceedings of the national academy of sciences, 113(15):3932–3937, 2016.

Cam22

Allan Campopiano. The myth of the normal curve and what to do about it. In Proceedings of the 21st Python in Science Conference, 64 – 68. Austin, TX USA, 2022.

CB02

George Casella and Roger Berger. Statistical Inference. Thomson Learning, 2002. ISBN 9780534243128.

CFR98

G Chen, TA Ferryman, and KM Remund. Methodology for uncertainty estimation of hanford tank chemical and radionuclide inventories and concentrations. Technical Report, Pacific Northwest National Lab., 1998.

Cli71

F Clifton. Strength variability in structural materials. HM Stationery Office, 1971.

Cob07

George W Cobb. The introductory statistics course: a ptolemaic curriculum? Technology innovations in statistics education, 2007.

Con15

Paul G. Constantine. Active Subspaces: Emerging Ideas for Dimension Reduction in Parameter Studies. SIAM Philadelphia, 2015.

CF99

Alison C Cullen and H Christopher Frey. Probabilistic techniques in exposure assessment: a handbook for dealing with variability and uncertainty in models and inputs. Springer Science & Business Media, 1999.

Dan52

Gilbert S Daniels. The" average man"? Technical Report, Air Force Aerospace Medical Research Lab Wright-Patterson AFB OH, 1952.

dR20a

Zachary del Rosario. Grama: a grammar of model analysis. Journal of Open Source Software, 5(51):2462, 2020. URL: https://doi.org/10.21105/joss.02462, doi:10.21105/joss.02462.

dR20b

Zachary del Rosario. Precision Margin: First-Principles Margins for Aircraft Design Under Uncertainty. Stanford University, 2020.

dR23

Zachary del Rosario. A mixed-methods investigation of engineers targeting the consequences of variability. In ASEE Annual Conference and Exposition. 2023. arXiv:https://nemo.asee.org/public/conferences/327/papers/36726/view.

dRFI21

Zachary del Rosario, Richard W Fenrich, and Gianluca Iaccarino. When are allowables conservative? AIAA Journal, 59(5):1760–1772, 2021. URL: https://doi.org/10.2514/1.J059578, doi:10.2514/1.J059578.

dRLI19

Zachary del Rosario, Minyong Lee, and Gianluca Iaccarino. Lurking variable detection via dimensional analysis. SIAM/ASA Journal on Uncertainty Quantification, 7(1):232–259, 2019. arXiv:https://doi.org/10.1137/17M1155508, doi:10.1137/17M1155508.

Dem82

William Edwards Deming. Quality, productivity, and competitive position. Volume 183. Massachusetts Institute of Technology, Center for advanced engineering study …, 1982.

DKD09

Armen Der Kiureghian and Ove Ditlevsen. Aleatory or epistemic? does it matter? Structural safety, 31(2):105–112, 2009.

DBW22

Nicolas Dewolf, Bernard De Baets, and Willem Waegeman. Valid prediction intervals for regression problems. Artificial Intelligence Review, pages 1–37, 2022.

DM05

Ove Ditlevsen and Henrik O Madsen. Structural reliability methods. Internet Edition, 2.2.5 edition, 2005.

DT14

Vincent Dumoulin and Félix Thouin. A ballistic monte carlo approximation of $\$$\backslash $pi$\$. arXiv preprint arXiv:1404.1499, 2014.

Duv14

David Duvenaud. Automatic model construction with Gaussian processes. PhD thesis, University of Cambridge, 2014.

ET94

Bradley Efron and Robert J Tibshirani. An introduction to the bootstrap. CRC press, 1994. URL: https://doi.org/10.1201/9780429246593, doi:10.1201/9780429246593.

FKGS03

Scott Ferson, VLADIK KREINOVICK, Lev Ginzburg, and FARI SENTZ. Constructing probability boxes and dempster-shafer structures. Technical Report, Sandia National Lab.(SNL-NM), Albuquerque, NM (United States); Sandia …, 2003.

FSI17

A Frankel, D Sharp, and G Iaccarino. Application of qmu to the design of a nuclear waste storage tank. Nuclear Engineering and Design, 324:379–389, 2017.

Gai07

Julie Gainsburg. The mathematical disposition of structural engineers. Journal for Research in Mathematics Education, 38(5):477–506, 2007.

Gal81

Theodore V. Galambos. Load and resistance factor design. Engineering Journal, AISC, 18(3):78–84, 1981.

GBD+15

Phillip A Gauglitz, Jagannadha R Bontha, Richard C Daniel, Lenna A Mahoney, Scot D Rassat, Beric E Wells, Jie Bao, Gregory K Boeringa, William C Buchmiller, Carolyn A Burns, and others. Hydrogen gas retention and release from wtp vessels: summary of preliminary studies. Technical Report, Pacific Northwest National Lab.(PNNL), Richland, WA (United States), 2015.

GHV20

Andrew Gelman, Jennifer Hill, and Aki Vehtari. Regression and other stories. Cambridge University Press, 2020.

GH80

Mary L Gick and Keith J Holyoak. Analogical problem solving. Cognitive psychology, 12(3):306–355, 1980.

Giu16

Victor Giurgiutiu. Structural Health Monitoring of Aerospace Composites. Academic Press, Oxford, 2016. ISBN 978-0-12-409605-9. URL: https://doi.org/10.1016/B978-0-12-409605-9.00001-5, doi:10.1016/B978-0-12-409605-9.00001-5.

GVL13

Gene H Golub and Charles F Van Loan. Matrix computations. Volume 4. JHU press, 2013.

HSS08

Aric A. Hagberg, Daniel A. Schult, and Pieter J. Swart. Exploring network structure, dynamics, and function using networkx. In Gaël Varoquaux, Travis Vaught, and Jarrod Millman, editors, Proceedings of the 7th Python in Science Conference, 11 – 15. Pasadena, CA USA, 2008.

Ho17

Clifford K Ho. Advances in central receivers for concentrating solar applications. Solar energy, 152:38–56, 2017.

HC18

Jeffrey M Hokanson and Paul G Constantine. Data-driven polynomial ridge approximation using variable projection. SIAM Journal on Scientific Computing, 40(3):A1566–A1589, 2018.

Hol04

Wendland Holger. Scattered Data Approximation. Cambridge Monographs on Applied and Computational Mathematics. Cambridge University Press, 2004. URL: https://doi.org/10.1017/CBO9780511617539, doi:10.1017/CBO9780511617539.

Hu06

T.A. Hu. Steady-state flammable gas release rate calculation and lower flammability level evaluation for hanford tank waste, rev. 6. Technical Report, CH2M HILL Hanford Group, 2006.

IP19

Bertrand Iooss and Clementine Prieur. Shapley effects for sensitivity analysis with correlated inputs: comparisons with sobol' indices, numerical estimation and applications. International Journal for Uncertainty Quantification, 9(5):493–514, 2019.

JWHT13

Gareth James, Daniela Witten, Trevor Hastie, and Robert Tibshirani. An introduction to statistical learning. Volume 112. Springer, 2013.

JCdelRosarioI20

Lluis Jofre-Cruanyes, Zachary del Rosario, and Gianluca Iaccarino. Data-driven dimensional analysis of heat transfer in irradiated particle-laden turbulent flow. International Journal of Multiphase Flow, 04 2020. doi:10.1016/j.ijmultiphaseflow.2019.103198.

Joi81

Brian L. Joiner. Lurking variables: some examples. The American Statistician, 35(4):227–233, 1981.

JJ09

Bradley Jones and Rachel T Johnson. Design and analysis for the gaussian process model. Quality and Reliability Engineering International, 25(5):515–524, 2009.

Kaz11

R. Kazban. Heat transfer analysis for process vessels in the pretreatment facility, waste treatment and immobilization plant, hanford site. Technical Report, Defense Nuclear Facilities Safety Board, 2011.

KN05

Andy Keane and Prasanth Nair. Computational approaches for aerospace design: the pursuit of excellence. John Wiley & Sons, 2005.

KZA13

Ron S Kenett, Shelemyahu Zacks, and Daniele Amberti. Modern Industrial Statistics: with applications in R, MINITAB and JMP. John Wiley & Sons, 2013.

KLK+22

Hassan Kibirige, Greg Lamp, Jan Katins, gdowding, austin, Florian Finkernagel, matthias-k, Tyler Funnell, Jonas Arnfred, Dan Blanchard, Paul Natsuo Kishimoto, Sergey Astanin, Eric Chiang, Evan Sheehan, stonebig, Bernard Willers, Robert Gibboni, smutch, Yaroslav Halchenko, Pavel, Josh Hartmann, Brian King, Hugo van Kemenade, and Jonathan Soma. has2k1/plotnine: See the [changelog](https://plotn ine.readthedocs.io/en/stable/changelog.html#v0-9-0 ). September 2022. URL: https://doi.org/10.5281/zenodo.7124918, doi:10.5281/zenodo.7124918.

KSN99

Nathan L Kleinman, James C Spall, and Daniel Q Naiman. Simulation-based optimization with stochastic approximation using common random numbers. Management Science, 45(11):1570–1578, 1999.

Lan95

Ann Langley. Between 'paralysis by analysis' and 'extinction by instinct'. MIT Sloan Management Review, 36(3):63, 1995.

LE00

Lars Larsson and Rolf Eliasson. Principles of Yacht Design. McGraw Hill Companies, 2000. ISBN 978-0071353939.

LS16

John J Lewandowski and Mohsen Seifi. Metal additive manufacturing: a review of mechanical properties. Annual Review of Materials Research, 46:151–186, 2016. URL: https://doi.org/10.1146/annurev-matsci-070115-032024, doi:10.1146/annurev-matsci-070115-032024.

Lew92

Harold Warren Lewis. Technological risk. WW Norton & Company, 1992.

LWD10

Chao Liu, Ryen W White, and Susan Dumais. Understanding web browsing behaviors through weibull analysis of dwell time. In Proceedings of the 33rd international ACM SIGIR conference on Research and development in information retrieval, 379–386. 2010.

Lou14

Gilles Louppe. Understanding random forests. Cornell University Library, 2014.

Lum07

John L. Lumley. Stochastic tools in turbulence. Courier Corporation, 2007.

MS02

Lenna A Mahoney and Charles W Stewart. Review of the technical basis of the hydrogen control limit for operations in hanford tank farms. Technical Report, Pacific Northwest National Lab., Richland, WA (US), 2002.

MJ18a

Simon Mak and V Roshan Joseph. Support points. The Annals of Statistics, 46(6A):2562–2592, 2018.

MJ18b

Simon Mak and V. Roshan Joseph. Minimax and minimax projection designs using clustering. Journal of Computational and Graphical Statistics, 27(1):166–178, 2018. URL: https://doi.org/10.1080/10618600.2017.1302881, arXiv:https://doi.org/10.1080/10618600.2017.1302881, doi:10.1080/10618600.2017.1302881.

MBR+09

Alison L Marsden, Adam J Bernstein, V Mohan Reddy, Shawn C Shadden, Ryan L Spilker, Frandics P Chan, Charles A Taylor, and Jeffrey A Feinstein. Evaluation of a novel y-shaped extracardiac fontan baffle using computational fluid dynamics. The Journal of thoracic and cardiovascular surgery, 137(2):394–403, 2009.

Mar15

Maia Martcheva. An introduction to mathematical epidemiology. Volume 61. Springer, 2015.

MHE17

William Q Meeker, Gerald J Hahn, and Luis A Escobar. Statistical intervals: a guide for practitioners and researchers. Volume 541. John Wiley & Sons, 2017. URL: https://doi.org/10.1002/9781118594841, doi:10.1002/9781118594841.

MAC+18

Bryce Meredig, Erin Antono, Carena Church, Maxwell Hutchinson, Julia Ling, Sean Paradiso, Ben Blaiszik, Ian Foster, Brenna Gibbons, Jason Hattrick-Simpers, and others. Can machine learning identify the next high-temperature superconductor? examining extrapolation performance for materials discovery. Molecular Systems Design & Engineering, 3(5):819–825, 2018.

MJ78

A.J. Meyer-Jens. Factors of safety historical development, state of the art and future outlook. Technical Report 661, ADVISORY GROUP FOR AEROSPACE RESEARCH AND DEVELOPMENT NEUILLY-SUR-SEINE (FRANCE), 1978.

Mic89

Theodore Micceri. The unicorn, the normal curve, and other improbable creatures. Psychological bulletin, 105(1):156, 1989.

Mor17

M. Granger Morgan. Theory and practice in policy analysis. Cambridge University Press, 2017.

MT77

Frederick Mosteller and John Wilder Tukey. Data analysis and regression: a second course in statistics. Addison-Wesley Series in Behavioral Science: Quantitative Methods, 1977.

Nel06

Roger Nelsen. An Introduction to Copulas. Springer-Verlag, New York, 2 edition, 2006.

NIH23

NIH. The basics. https://www.nih.gov/health-information/nih-clinical-research-trials-you/basics, 2023. accessed 2023-09-01.

Nol18

J. P. Nolan. Stable Distributions - Models for Heavy Tailed Data. Birkhauser, Boston, 2018. In progress, Chapter 1 online at http://fs2.american.edu/jpnolan/www/stable/stable.html.

ONeil16

Cathy O'Neil. Weapons of math destruction: How big data increases inequality and threatens democracy. Crown, 2016.

oE08

Washington State Department of Ecology. Hanford quick facts. https://web.archive.org/web/20080624232748/http://www.ecy.wa.gov/features/hanford/hanfordfacts.html, 2008. 2008 website captured by the Internet Archive.

oE12

U.S. Department of Energy. Hanford overview. https://web.archive.org/web/20120511135540/http://www.hanford.gov/page.cfm/HanfordOverview, 2012. 2012 website captured by the Internet Archive.

oOEM21

Bureau of Ocean Energy Management. Vineyard wind 1 offshore wind energy project, eis number 20210028. 2021.

oEQCEQEOotP21

Council on Environmental Quality (CEQ) Executive Office of the President. A citizen's guide to nepa. 2021.

Owe13a

Art B. Owen. Monte carlo theory, methods and examples. 2013. URL: https://statweb.stanford.edu/~owen/mc/.

Owe13b

Art B. Owen. Variance components and generalized sobol' indices. SIAM/ASA Journal on Uncertainty Quantification, 1(1):19–41, 2013.

OP17

Art B. Owen and Clémentine Prieur. On shapley value for measuring importance of dependent inputs. SIAM/ASA Journal on Uncertainty Quantification, 5(1):986–1002, 2017.

PBFG07

G. Pahl, W. Beitz, J. Feldhusen, and K.H. Grote. Engineering Design: A Systematic Approach. Springer, 3 edition, 2007.

pdt20

The pandas development team. Pandas-dev/pandas: pandas. February 2020. URL: https://doi.org/10.5281/zenodo.3509134, doi:10.5281/zenodo.3509134.

PFK+17

Ryan S Park, William M Folkner, Alexander S Konopliv, James G Williams, David E Smith, and Maria T Zuber. Precession of mercury’s perihelion from ranging to the messenger spacecraft. The Astronomical Journal, 153(3):121, 2017.

Pea16

Karl Pearson. Ix. mathematical contributions to the theory of evolution.—xix. second supplement to a memoir on skew variation. Philosophical Transactions of the Royal Society of London. Series A, Containing Papers of a Mathematical or Physical Character, 216(538-548):429–457, 1916.

PVG+11

F. Pedregosa, G. Varoquaux, A. Gramfort, V. Michel, B. Thirion, O. Grisel, M. Blondel, P. Prettenhofer, R. Weiss, V. Dubourg, J. Vanderplas, A. Passos, D. Cournapeau, M. Brucher, M. Perrot, and E. Duchesnay. Scikit-learn: machine learning in Python. Journal of Machine Learning Research, 12:2825–2830, 2011.

Pee11

David J Peery. Aircraft structures. Courier Corporation, 2011. ISBN 978-0-486-48580-5.

Phi96

Andrew N Phillips. Reduction of hiv concentration during acute infection: independence from a specific immune response. Science, pages 497–499, 1996.

Phi08

Timothy A Philpot. Mechanics of materials: an integrated learning system. John Wiley & Sons, 2008.

Pop00

Stephen B Pope. Turbulent flows. Cambridge university press, 2000.

Pop05

Karl Popper. The logic of scientific discovery. Routledge, 2005.

Por20

Theodore M Porter. Trust in numbers. Princeton University Press, 2020.

Pro11

Yu Prokhorov. Central limit theorem. 2011. arXiv:http://encyclopediaofmath.org/index.php?title=About&oldid=19481.

Rac01

Rüdiger Rackwitz. Reliability analysis - a review and some perspectives. Structural safety, 23(4):365–395, 2001. URL: https://doi.org/10.1016/S0167-4730(02)00009-7, doi:10.1016/S0167-4730(02)00009-7.

RW05

Carl Edward Rasmussen and Christopher K. I. Williams. Gaussian Processes for Machine Learning. The MIT Press, 11 2005. ISBN 9780262256834. URL: https://doi.org/10.7551/mitpress/3206.001.0001, doi:10.7551/mitpress/3206.001.0001.

Roa02

Patrick J Roache. Code verification by the method of manufactured solutions. J. Fluids Eng., 124(1):4–10, 2002.

Ros16

Todd Rose. The end of average: How to succeed in a world that values sameness. Penguin UK, 2016.

Ros33

Paul Rosin. The laws governing the fineness of powdered coal. J. Inst. Fuel, 7(31):29–36, 1933.

Ruc10a

Andreas Ruckstuhl. Introduction to nonlinear regression. IDP Institut für Datenanalyse und Prozessdesign, 2010.

Ruc10b

Andreas Ruckstuhl. Introduction to nonlinear regression. IDP Institut für Datenanalyse und Prozessdesign. ZHAW Zürcher Hochschule für Angewandte Wissenschaften. stat. ethz. ch/˜ stahel/courses/cheming/nlreg10E. pdf, 2010.

Ruf84

Paul E Ruff. An overview of the mil-hdbk-5 program. Technical Report, Battelle Columbus Div OH, 1984. URL: https://apps.dtic.mil/sti/citations/ADA147788.

Rya07

Thomas P. Ryan. Modern Experimental Design. John Wiley & Sons, 2007.

STI22

Ettore Saetta, Renato Tognaccini, and Gianluca Iaccarino. Machine learning to predict aerodynamic stall. arXiv preprint arXiv:2207.03424, 2022.

SJM08

Charles Salmon, Johnson, John, and Faris Malhas. Steel Structures: Design and Behavior Emphasizing Load & Resistance Factor Design. Pearson, 2008. ISBN 9780131885561.

SBB+20

Andrea Saltelli, Gabriele Bammer, Isabelle Bruno, Erica Charters, Monica Di Fiore, Emmanuel Didier, Wendy Nelson Espeland, John Kay, Samuele Lo Piano, Deborah Mayo, and others. Five ways to ensure that models serve society: a manifesto. 2020.

STCR04

Andrea Saltelli, Stefano Tarantola, Francesca Campolongo, and Marco Ratto. Sensitivity analysis in practice: a guide to assessing scientific models. John Wiley & Sons, 2004.

SSWD21

A. Scillitoe, P. Seshadri, C. Y. Wong, and A. Duncan. Polynomial ridge flowfield estimation. Physics of Fluids, 33(12):127110, 2021. URL: https://doi.org/10.1063/5.0064000, arXiv:https://doi.org/10.1063/5.0064000, doi:10.1063/5.0064000.

Set09

Burr Settles. Active learning literature survey. Technical Report, University of Wisconsin-Madison Department of Computer Sciences, 2009.

ST06

Sheri D Sheppard and Benson H Tongue. Statics: Analysis and Design of Systems in Equilibrium. Wiley, 2006. ISBN 978-0-471-94721-9.

She31

Walter Andrew Shewhart. Economic control of quality of manufactured product. Macmillan And Co Ltd, London, 1931.

SD86

Walter Andrew Shewhart and William Edwards Deming. Statistical method from the viewpoint of quality control. Dover, 1986.

SH11

Timothy F Slaper and Tanya J Hall. The triple bottom line: what is it and how does it work. Indiana business review, 86(1):4–8, 2011.

Smi13

Ralph C. Smith. Uncertainty quantification: theory, implementation, and applications. SIAM, 2013.

Sob93

I.M. Sobol. Sensitivity estimates for nonlinear mathematical models. Mathematical Modelling and Computational Experiments, 1(4):407–414, 1993.

Spe12

Paul R Spendley. Design allowables for composite aerospace structures. PhD thesis, University of Surrey, 2012. URL: https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.604017.

SGN46

Ambrose H. Stang, Martin Greenspan, and Sanford B. Newman. Poisson's ratio of some structural alloys for large strains. Journal of Research of the National Bureau of Standards, 1946. URL: https://nvlpubs.nist.gov/nistpubs/jres/37/jresv37n4p211_A1b.pdf.

Sta20

Transportation Statistics. Transportation fatalities by mode. 2020. Accessed 2023-01-12. arXiv:https://www.bts.gov/content/transportation-fatalities-mode.

Sun06

Chin-Teh Sun. Mechanics of aircraft structures. J. Wiley, 2006. ISBN 978-0-471-69966-8. URL: https://www.wiley.com/en-us/Mechanics+of+Aircraft+Structures%2C+2nd+Edition-p-9780471699668.

Sorensen02

John Dalsgaard Sørensen. Calibration of partial safety factors in danish structural codes. In JCSS Workshop on Reliability Based Code Calibration, volume 21, 2002. Citeseer, 2002.

TT08

Ambler Thompson and Barry N. Taylor. Guide for the use of the international system of units (si). Technical Report, National Institute of Standards and Technology, 2008.

Tor82

E. Torenbeek. Synthesis of Subsonic Airplane Design. Design. Delft University Press and Kluwer Academic Publishers, 1982.

Tuk77

John W. Tukey. Exploratory data analysis. Volume 2. Reading, Mass., 1977.

VdV98

Aad W. Van der Vaart. Asymptotic statistics. Volume 3. Cambridge University Press, 1998. URL: https://doi.org/10.1017/CBO9780511802256, doi:10.1017/CBO9780511802256.

VGH10

Felipe AC Viana, Christian Gogu, and Raphael T Haftka. Making the most out of surrogate models: tricks of the trade. In International design engineering technical conferences and computers and information in engineering conference, volume 44090, 587–598. 2010.

VGO+20

Pauli Virtanen, Ralf Gommers, Travis E. Oliphant, Matt Haberland, Tyler Reddy, David Cournapeau, Evgeni Burovski, Pearu Peterson, Warren Weckesser, Jonathan Bright, Stéfan J. van der Walt, Matthew Brett, Joshua Wilson, K. Jarrod Millman, Nikolay Mayorov, Andrew R. J. Nelson, Eric Jones, Robert Kern, Eric Larson, C J Carey, İlhan Polat, Yu Feng, Eric W. Moore, Jake VanderPlas, Denis Laxalde, Josef Perktold, Robert Cimrman, Ian Henriksen, E. A. Quintero, Charles R. Harris, Anne M. Archibald, Antônio H. Ribeiro, Fabian Pedregosa, Paul van Mulbregt, and SciPy 1.0 Contributors. SciPy 1.0: Fundamental Algorithms for Scientific Computing in Python. Nature Methods, 17:261–272, 2020. doi:10.1038/s41592-019-0686-2.

WMZT22

Qi Wang, Yue Ma, Kun Zhao, and Yingjie Tian. A comprehensive survey of loss functions in machine learning. Annals of Data Science, 9(2):187–212, 2022.

Wei39

Waloddi Weibull. A statistical theory of the strength of materials. Generalstabens Litografiska Anstalts Förlag, 1939.

Whi11

Frank M. White. Fluid Mechanics. McGraw-Hill, New York, 2011.

Wic14

Hadley Wickham. Tidy data. Journal of Statistical Software, 59(10):1–23, 2014. doi:10.18637/jss.v059.i10.

WG23

Hadley Wickham and Garrett Grolemund. R for Data Science. O'Reilly, 2023. arXiv:https://r4ds.hadley.nz/.

WP99

Chris J Wild and Maxine Pfannkuch. Statistical thinking in empirical enquiry. International statistical review, 67(3):223–248, 1999.

Wil27

Edwin B Wilson. Probable inference, the law of succession, and statistical inference. Journal of the American Statistical Association, 22(158):209–212, 1927.

WW45

Edwin B Wilson and Jane Worcester. The law of mass action in epidemiology. Proceedings of the National Academy of Sciences, 31(1):24–34, 1945.

Zha20

Boya Zhang. Computer Experimental Design for Gaussian Process Surrogates. PhD thesis, Virginia Tech, 2020.

delRosario21

Zachary del Rosario. Precision materials indices: materials selection with statistically-rigorous reliability analysis. AIAA Journal, 2021.

WichitaSUniversity12a

Wichita State University. Composite materials handbook volume 1. polymer matrix composites guidelines for characterization of structural materials. 2012.

WichitaSUniversity12b

Wichita State University. Composite materials handbook volume 3. polymer matrix composites materials usage, design, and analysis. 2012.