Spelling suggestions: "subject:"agradient estimated"" "subject:"9gradient estimated""
1 |
Regularity of solutions to the stationary transport equation with the incoming boundary data / 入射境界条件下での輸送方程式の解の正則性についてKawagoe, Daisuke 26 March 2018 (has links)
京都大学 / 0048 / 新制・課程博士 / 博士(情報学) / 甲第21212号 / 情博第665号 / 新制||情||115(附属図書館) / 京都大学大学院情報学研究科先端数理科学専攻 / (主査)教授 磯 祐介, 教授 木上 淳, 助手 藤原 宏志 / 学位規則第4条第1項該当 / Doctor of Informatics / Kyoto University / DFAM
|
2 |
Generalized Non-Autonomous Kato Classes and Nonlinear Bessel PotentialsCastillo, René Erlin 07 October 2005 (has links)
No description available.
|
3 |
Metoda bootstrap a její aplikace / Bootstrap Method and its ApplicationPavlíčková, Lucie January 2009 (has links)
The diploma thesis describes the bootstrap method and its applications in the estimate accuracy statement, in the confidence intervals generation and in the testing of statistical hypotheses. Further the method of the discrete probability estimation of the categorical quantity is presented, making use the gradient of the quasi-norm hereof distribution. On concrete examples the bootstrap method is applied in the confidence intervals forming of the categorical quantity probability function. The diploma thesis was supported by the project of MŠMT of the Czech Republic no. 1M06047 "Centre for Quality and Reliability of Production", by the grant of Grant Agency of the Czech Republic (Czech Science Foundation) reg. no. 103/08/1658 "Advanced optimum design of composed concrete structures" and by the research plan of MŠMT of the Czech Republic no. MSM0021630519 "Progressive reliable and durable structures".
|
4 |
Fitování rozdělení pravděpodobnosti pro aplikace / Fitting of Probability Distributions for ApplicationsPavlíčková, Lenka January 2012 (has links)
The diploma thesis describes the bootstrap method and its applications in the confidence intervals generation, in the testing of statistical hypotheses and in the regression analysis. We present the confidence interval for individual value. Further the method of discrete probability estimation of the categorical quantity is presented, making use the gradient and the line estimate.
|
Page generated in 0.0607 seconds