A note on the Hendrickson-Lattman phase probability distribution and its equivalence to the generalized von Mises distribution

被引:0
|
作者
Barnett, Michael J. [1 ]
Kingston, Richard L. [1 ]
机构
[1] Univ Auckland, Sch Biol Sci, Auckland, New Zealand
关键词
crystallographic phase determination; probability density functions; circular statistics; computational crystallography; INFORMATION; FAMILY;
D O I
10.1107/S1600576724000311
中图分类号
O6 [化学];
学科分类号
0703 ;
摘要
Hendrickson & Lattman [Acta Cryst. (1970), B26, 136-143] introduced a method for representing crystallographic phase probabilities defined on the unit circle. Their approach could model the bimodal phase probability distributions that can result from experimental phase determination procedures. It also provided simple and highly effective means to combine independent sources of phase information. The present work discusses the equivalence of the Hendrickson-Lattman distribution and the generalized von Mises distribution of order two, which has been studied in the statistical literature. Recognizing this connection allows the Hendrickson-Lattman distribution to be expressed in an alternative form which is easier to interpret, as it involves the location and concentration parameters of the component von Mises distributions. It also allows clarification of the conditions for bimodality and access to a simplified analytical method for evaluating the trigonometric moments of the distribution, the first of which is required for computing the best Fourier synthesis in the presence of phase, but not amplitude, uncertainty.
引用
收藏
页码:492 / 498
页数:7
相关论文
共 41 条
  • [1] Some computational aspects of the generalized von Mises distribution
    Riccardo Gatto
    Statistics and Computing, 2008, 18 : 321 - 331
  • [2] A three-parameter generalized von Mises distribution
    Kim, Sungsu
    SenGupta, Ashis
    STATISTICAL PAPERS, 2013, 54 (03) : 685 - 693
  • [3] Bayesian tests of symmetry for the generalized Von Mises distribution
    Sara Salvador
    Riccardo Gatto
    Computational Statistics, 2022, 37 : 947 - 974
  • [4] Bayesian tests of symmetry for the generalized Von Mises distribution
    Salvador, Sara
    Gatto, Riccardo
    COMPUTATIONAL STATISTICS, 2022, 37 (02) : 947 - 974
  • [5] Bayesian Inference on the Bimodality of the Generalized von Mises Distribution
    Gatto, Riccardo
    Salvador, Sara
    JOURNAL OF STATISTICAL THEORY AND PRACTICE, 2022, 16 (02)
  • [6] Bayesian Inference on the Bimodality of the Generalized von Mises Distribution
    Riccardo Gatto
    Sara Salvador
    Journal of Statistical Theory and Practice, 2022, 16
  • [7] Some computational aspects of the generalized von Mises distribution
    Gatto, Riccardo
    STATISTICS AND COMPUTING, 2008, 18 (03) : 321 - 331
  • [8] A three-parameter generalized von Mises distribution
    Sungsu Kim
    Ashis SenGupta
    Statistical Papers, 2013, 54 : 685 - 693
  • [9] An algebraic analysis of the bimodality of the generalized von Mises distribution
    Salvador, Sara
    Gatto, Riccardo
    COMMUNICATIONS IN STATISTICS-THEORY AND METHODS, 2024, 53 (10) : 3642 - 3658
  • [10] A novel approach to tube design via von Mises probability distribution
    Oral, Atacan
    Subasi, Omer
    Ozturk, Caglar
    Lazoglu, Ismail
    Subay, Sehmuz Ali
    ENGINEERING OPTIMIZATION, 2024, 56 (03) : 319 - 337