Flustered
发表于 2025-3-23 10:27:21
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可互换
发表于 2025-3-23 16:03:59
Paola Leccades pedagogy from a business perspective, connecting statistThis advanced textbook for business statistics teaches, statistical analyses and research methods utilizing business case studies and financial data with the applications of Excel VBA, Python and R. Each chapter engages the reader with samp
braggadocio
发表于 2025-3-23 19:41:39
Paola Leccang Excel, Minitab, and SAS. Every chapter in this textbook engages the reader with data of individual stock, stock indices, options, and futures...One studies and uses statistics to learn how to study, analyze, and understand a data set of particular interest. Some of the more popular statistical pr
标准
发表于 2025-3-23 22:22:31
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paleolithic
发表于 2025-3-24 02:50:38
Paola Lecca enzymes, flavoring substances, food additives and harmful c.This book presents fundamental and practical information on food chemistry. Using 2-D barcodes, it illustrates the specific reactions and potential transformation mechanisms of food constituents during various manufacturing and storage pro
性行为放纵者
发表于 2025-3-24 07:25:27
Paola Leccasiness analysts who are looking to upgrade their toolkits. Readers can look to the first volume for dedicated content on financial statistics, and portfolio analysis..978-3-031-14285-7978-3-031-14283-3
Cabg318
发表于 2025-3-24 14:31:50
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Atheroma
发表于 2025-3-24 17:21:31
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效果
发表于 2025-3-24 22:03:15
Dynamic Models,hastic differential equations, master equations, and, in cases where the numerical solution of the latter is difficult to calculate, stochastic simulation algorithms. In this chapter, we give an overview of the most used dynamic models for simulating the temporal evolution of a network.
Tincture
发表于 2025-3-24 23:29:24
Model Identifiability,her or not parameters can be identified from a given model structure and experimental measurements. Since experimental data are usually affected by uncertainties this question is known as .. Non-identifiability of parameters induces non-observability of trajectories, reducing the predictive power of