Browsing Mathematics, Statistics, and Physics by Title

Now showing items 18-37 of 443

    • Advanced forecasting model on land market value based on USA real estate market 

      Wang, Lei (Wichita State University, 2019-12)
      This research presents a time series estimation and prediction methods with the use of classic and advanced forecasting tools. Our discussion about di erent time series models is supported by giving the experimental forecast ...

    • Advanced forecasting model on land market value based on USA real estate market 

      Wang, Lei (Wichita State University, 2019-04-26)
      This research presents a time series estimation and prediction methods with the use of classic and advanced forecasting tools. Our discussion about different time series models is supported by giving the experimental ...

    • Ages of 70 dwarfs of three populations in the solar neighborhood: considering O and C abundances in stellar models 

      Ge, Zhishuai; Bi, Shaolan; Chen, Y. Q.; Li, T. D.; Zhao, J. K.; Liu, K.; Ferguson, Jason W.; Wu, Y. Q. (IOP Publishing Ltd, 2016-12-15)
      Oxygen and carbon are important elements in stellar populations. Their behavior refers to the formation history of the stellar populations. C and O abundances would also obviously influence stellar opacities and the overall ...

    • Ages of dwarfs in the solar neighborhood: considering C and O enhancements 

      Chen, Xunzhou; Ge, Zhishuai; Chen, Yuqin; Bi, Shaolan; Yu, Jie; Li, Tanda; Ferguson, Jason W.; Zhang, Jinghua; Wu, Yaqian (Institute of Physics Publishing, 2020-02-04)
      Precise stellar ages of stars are necessary to study the evolution of the Milky Way. The age determination is significantly affected by C and O abundances of stars due to their contribution to the overall metallicity and ...

    • Ages of main-sequence turnoff stars from the GALAH survey 

      Chen, Xunzhou; Ge, Zhishuai; Chen, Yuqin; Bi, Shaolan; Yu, Jie; Yang, Wuming; Ferguson, Jason W.; Wu, Yaqian; Li, Yaguang (American Astronomical Society, 2022-04-01)
      Main-sequence turnoff (MSTO) stars are good tracers of Galactic populations since their ages can be reliably estimated from atmospheric parameters. Based on the GALAH survey, we use the Yale rotation evolution code to ...

    • Algorithm for determining the volatility function in the Black–Scholes model 

      Isakov, Victor; Kabanikhin, Sergey Igorevich; Shananin, Alexander A.; Shishlenin, Maxim A.; Zhang, Shuhua (Pleiades Publishing, 2019-10)
      Abstract: An algorithm for reconstructing the volatility function in the modified Black–Scholes model is developed. Results of numerical computations are presented. It is shown that adding information about the prices of ...

    • Almost non-negatively curved 4-manifolds with torus symmetry 

      Harvey, John; Searle, Catherine (American Mathematical Society, 2020-08-14)
      We prove that if a closed, smooth, simply-connected 4-manifold with a circle action admits an almost non-negatively curved sequence of invariant Riemannian metrics, then it also admits a non-negatively curved Riemannian ...

    • An adaptive multiresolution ultra-weak discontinuous Galerkin method for nonlinear Schrödinger equations 

      Tao, Zhanjing; Huang, Juntao; Liu, Yuan; Guo, Wei; Cheng, Yingda (Springer Link, 2021-01-25)
      This paper develops a high-order adaptive scheme for solving nonlinear Schrödinger equations. The solutions to such equations often exhibit solitary wave and local structures, which make adaptivity essential in improving ...

    • An analysis of the replies to the Kansas American Association of University Women's questionnaire on teacher welfare 

      Groth, Mabel-Grace D. (Wichita State University, 1948-05)

    • An open-source implementation of the quick CSF method for rapid evaluation of contrast sensitivity 

      Canare, Dominic (Wichita State University, 2019-04-26)
      Contrast sensitivity is an important feature of functional vision, but traditional psychometric assessment methods require an excessive number of trials to estimate a complete contrast sensitivity function across the full ...

    • Annular capillary surfaces 

      Elcrat, Alan R.; Kim, Tae-Eun; Treinen, Ray (Birkhäuser-Verlag, Basel, 2004-05-01)
      The meniscus in a symmetric annular capillary tube is investigated. The contact angles on the inner and outer tube surface need not be the same. Existence and qualitative properties of solutions are obtained using an ...

    • Application of the limit of truncated isotonic regression in optimization subject to isotonic and bounding constraints 

      Hu, Xiaomi (Academic Press Inc., 2002-05-25)
      An isotonic regression truncated by confining its domain to a union of its level sets is the isotonic regression in the reduced function space. When some of the weights with which the inner product system is defined go to ...

    • Applications of the h-Cobordism Theorem 

      Burkemper, Matthew Bryan (Wichita State University, 2014-05)
      We provide an exposition of J. Milnor's proof of the h-Cobordism Theorem. This theorem states that a smooth, compact, simply connected n-dimensional manifold W with n greater than or equal to 6, whose boundary boundaryW ...

    • Applied topological data analysis to El-Niño Southern Oscillation 

      Shirazbakhti, Ghazaleh (Wichita State University, 2021-07)
      The El Niño Southern Oscillation (ENSO) is one of the most powerful climate phenomena that can change global air circulation, affecting temperature and rainfall around the planet. ENSO has three phases: El Niño and La ...

    • Attenuation simulations and hardware design for the nuSol Space-based Neutrino Probe 

      Folkerts, Jonathan (Wichita State University, 2021-04-02)
      INTRODUCTION: The nuSol project aims to design, build, and launch a small payload which will perform several near-solar approaches in order to demonstrate the viability of a space-based neutrino detector and perform ...

    • The BAyesian STellar algorithm (BASTA): a fitting tool for stellar studies, asteroseismology, exoplanets, and Galactic archaeology 

      Aguirre Børsen-Koch, V.; Rørsted, J.L.; Justesen, A.B.; Stokholm, A; Verma, K.; Winther, M.L.; Knudstrup, E.; Nielsen, K.B.; Sahlholdt, C.; Larsen, J.R.; Cassisi, S.; Serenelli, A.M.; Casagrande, L.; Christensen-Dalsgaard, J.; Davies, G.R.; Ferguson, Jason W.; Lund, M.N.; Weiss, A.; White, T.R. (Oxford University Press, 2021-09-29)
      We introduce the public version of the BAyesian STellar Algorithm (BASTA), an open-source code written in PYTHON to determine stellar properties based on a set of astrophysical observables. BASTA has been specifically ...

    • Bayesian variable selection and estimation in quantile regression using a quantile-specific prior 

      Dao, Mai; Wang, Min; Ghosh, Souparno; Ye, Keying (Springer Science and Business Media Deutschland GmbH, 2022-01-19)
      Asymmetric Laplace (AL) specification has become one of the ideal statistical models for Bayesian quantile regression. In addition to fast convergence of Markov Chain Monte Carlo, AL specification guarantees posterior ...

    • Behavior of some CMC capillary surfaces at convex corners 

      Crenshaw, Julie N.; Lancaster, Kirk E. (Pacific Journal of Mathematics at the University of California, 2006-04)
      We construct examples of nonparametric surfaces z = h(x, y) of zero mean curvature which satisfy contact angle boundary conditions in a cylinder in R3 over a convex domain with corners. When the contact angles for ...

    • Binomial-chi(2) vector random fields 

      Ma, Chunsheng (SIAM Publ., 2017)
      We introduce a new class of non-Gaussian vector random fields in space and/or time, which are termed binomial-chi(2) vector random fields and include chi(2) vector random fields as special cases. We define a binomial-chi(2) ...

    • Biologically motivated quantum neural networks 

      Steck, James E.; Behrman, Elizabeth C. (IEEE, 2017)
      This paper presents one step toward creating the building blocks for machine intelligence that is inspired by its biological equivalent. The authors' quantum learning methods (deep quantum learning) are applied to quantum ...