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Titlebook: Kapitalsteuerung in Filialbanken; Wulff Plinke Book 1975 Betriebswirtschaftlicher Verlag Dr. Th. Gabler · Wiesbaden 1975 Bankbetriebslehre

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樓主: Truman
21#
發(fā)表于 2025-3-25 05:13:06 | 只看該作者
Wulff Plinkeproperties. The weak convergence results also show how the drift terms, which set in after a change occurs, and drive the underlying processes towards the decision boundary, slow down under model misspecification for both the parametric and the nonparametric procedures.
22#
發(fā)表于 2025-3-25 09:16:30 | 只看該作者
23#
發(fā)表于 2025-3-25 14:10:39 | 只看該作者
Wulff Plinke classical empirical distribution function. If the auxiliary information about the underlying distribution function is knowledge of the mean, then the second moment condition in Zhang’s result requires square integrable random variables. In this note we will study integrable random variables with kn
24#
發(fā)表于 2025-3-25 16:06:41 | 只看該作者
25#
發(fā)表于 2025-3-25 23:18:57 | 只看該作者
Model Templatespiece of data. The MVC Framework supports an alternative approach, known as ., where we specify which model object or property we want to display or edit and leave the MVC Framework to figure out what HTML elements should be used.
26#
發(fā)表于 2025-3-26 02:59:04 | 只看該作者
Crop Yield Prediction in Diverse Agricultural Landscapes,e varies across regions, incorporating a multidisciplinary approach becomes crucial for developing accurate and context-specific yield prediction models. The chapter begins by highlighting the significance of tailoring predictive methodologies to the unique characteristics of different agricultural
27#
發(fā)表于 2025-3-26 04:25:27 | 只看該作者
28#
發(fā)表于 2025-3-26 09:30:06 | 只看該作者
29#
發(fā)表于 2025-3-26 14:47:16 | 只看該作者
Random Variables: Linearity and Order,atical finance. Although the main topic of our book is mathematical finance, much of the theory of random variables originated with the study of games of chance, a fact that is reflected in most of the examples with which we illustrate the basic theory.
30#
發(fā)表于 2025-3-26 18:53:22 | 只看該作者
Ludo Van der Heyden,Quy Nguyen HuyI can be used to compare the detection strategy of two different deep learning models often used for Computer Vision: Convolutional Neural Network and Multi-Layer Perceptron. Our empirical results show that i) the AI sometimes used questionable or irrelevant data features of an image to detect malar
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