標題: Titlebook: Excel Data Analysis; Modeling and Simulat Hector Guerrero Textbook 2019Latest edition Springer Nature Switzerland AG 2019 analysis.business [打印本頁] 作者: 惡化 時間: 2025-3-21 16:18
書目名稱Excel Data Analysis影響因子(影響力)
書目名稱Excel Data Analysis影響因子(影響力)學科排名
書目名稱Excel Data Analysis網(wǎng)絡公開度
書目名稱Excel Data Analysis網(wǎng)絡公開度學科排名
書目名稱Excel Data Analysis被引頻次
書目名稱Excel Data Analysis被引頻次學科排名
書目名稱Excel Data Analysis年度引用
書目名稱Excel Data Analysis年度引用學科排名
書目名稱Excel Data Analysis讀者反饋
書目名稱Excel Data Analysis讀者反饋學科排名
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Modeling and Simulation: Part 2,ook critical aspects of a problem. Over many years of teaching and consulting, I have observed very capable people make serious modeling errors, simply because they felt that they could approach modeling in a casual manner, thereby abandoning a systematic approach.作者: GNAT 時間: 2025-3-22 08:43
Analysis of Quantitative Data, the various tools for quantitative data analysis contained in Excel, providing us with a strong foundation and a preliminary understanding of the results of a data collection effort. Not all Excel statistical tools will be introduced, but more powerful tools will follow in later chapters.作者: 抒情短詩 時間: 2025-3-22 13:40 作者: 抒情短詩 時間: 2025-3-22 17:05
hat virtually all students and professionals have access to. The explanations are focused on understanding the techniques and their proper application, and are supplemented by a wealth of in-chapter and end-of-chapter exercises. In addition to the general statistical methods, the book also includes 作者: pancreas 時間: 2025-3-22 22:45
Flat covers and cotorsion envelopes, the various tools for quantitative data analysis contained in Excel, providing us with a strong foundation and a preliminary understanding of the results of a data collection effort. Not all Excel statistical tools will be introduced, but more powerful tools will follow in later chapters.作者: DECRY 時間: 2025-3-23 03:11 作者: BLUSH 時間: 2025-3-23 06:22 作者: GLADE 時間: 2025-3-23 11:04 作者: 淺灘 時間: 2025-3-23 14:20 作者: Modicum 時間: 2025-3-23 20:07 作者: 不斷的變動 時間: 2025-3-23 23:58 作者: inspired 時間: 2025-3-24 04:53
Analysis of Qualitative Data,titative data elements (fields). Should we be concerned with the type of data we collect? In the prior chapters we have answered this question with a resounding .. It is the type of the data—categorical, interval, ratio, etc.—that dictates the form of analysis we can perform.作者: 終端 時間: 2025-3-24 10:18 作者: 脆弱吧 時間: 2025-3-24 12:08 作者: 蟄伏 時間: 2025-3-24 16:31
Solver, Scenarios, and Goal Seek Tools,r permits us to utilize a problem structure known as constrained optimization. Decision makers can search for a best solution for some desired objective, under constrained conditions. (It will also allow unconstrained problem structures.) We will learn more about this . analysis procedure later in this chapter.作者: A保存的 時間: 2025-3-24 19:56 作者: Friction 時間: 2025-3-25 02:05 作者: antecedence 時間: 2025-3-25 06:46 作者: Prognosis 時間: 2025-3-25 10:56 作者: 拱形面包 時間: 2025-3-25 13:16
Analysis of Qualitative Data,e relate to her purchases at the website? Does a positive opinion of the website, relative to a bad or mediocre, lead to higher sales? This type of information is often gathered in the form of an opinion and measured as a categorical response. Also, accompanying these opinions are some quantitative 作者: GRILL 時間: 2025-3-25 16:42
Inferential Statistical Analysis of Data,first glimpse of another form of statistical analysis known as .. Inferential statistics is how statisticians use inductive reasoning to move from the specific, the data contained in a sample, to the general, inferring characteristics of the population from which the sample was taken.作者: CHAFE 時間: 2025-3-25 21:20
Modeling and Simulation: Part 1,g and analysis skills, we still need a more formal description, one that permits us a precise method for discussing models. Particularly, we need to understand a model’s structure, its capabilities, and its underlying assumptions. So, let us carefully reconsider the question—what is a model? This mi作者: ureter 時間: 2025-3-26 00:19
Modeling and Simulation: Part 2,detail. The terms . and . can be a bit confusing because they are often used interchangeably; that is, simulation . modeling and vice versa. We will make a distinction between the two terms, and we will see that in order to simulate a process, we must first create a model of the process. Thus, model作者: 小鹿 時間: 2025-3-26 07:35 作者: Statins 時間: 2025-3-26 12:00
The Scientific Basics of Lightning,d . examples. In other words, this book is for the individual that shouts, “I’m not interested in a 900-page text, full of difficult-to-remember .! What I need is a good and instructive example of analytics, so I can solve this problem before I leave the office tonight.”作者: 吝嗇性 時間: 2025-3-26 14:12 作者: 碎片 時間: 2025-3-26 19:06 作者: 施舍 時間: 2025-3-27 01:02
The Scientific Basics of Lightning,uilding decision-making models with Excel. We also consider the characteristics that make spreadsheets useful, not only for ourselves, but for others with whom we collaborate. As with any tool, learning to use the tool effectively requires carefully conceived planning and practice; thus, we will ter作者: 完成才會征服 時間: 2025-3-27 03:25
Cereal Grains in Flat Bread Production,, etc.). Although data in the form of currency are ubiquitous, it is quite easy to imagine other numerical units: percentages, counts in categories, units of sales, etc. This chapter, in conjunction with Chap. ., discusses how we can best use Excel’s graphic capabilities to effectively present quant作者: ANA 時間: 2025-3-27 07:25 作者: mydriatic 時間: 2025-3-27 10:55
https://doi.org/10.1007/978-1-4899-5874-7ata. Quantitative data is simple to identify; for example, sales revenue in dollars, number of new customers purchasing a product, and number of units of a SKU (Stock Keeping Unit) sold in a quarter. Similarly, . is easily identifiable. It can be in the form of very diverse variables; for example, d作者: 膠狀 時間: 2025-3-27 16:57
https://doi.org/10.1007/BFb0076909e relate to her purchases at the website? Does a positive opinion of the website, relative to a bad or mediocre, lead to higher sales? This type of information is often gathered in the form of an opinion and measured as a categorical response. Also, accompanying these opinions are some quantitative 作者: Onerous 時間: 2025-3-27 20:51
Flat-Panel Display Design Issues,first glimpse of another form of statistical analysis known as .. Inferential statistics is how statisticians use inductive reasoning to move from the specific, the data contained in a sample, to the general, inferring characteristics of the population from which the sample was taken.作者: Generator 時間: 2025-3-27 22:25 作者: Armory 時間: 2025-3-28 05:56 作者: maintenance 時間: 2025-3-28 10:20
,Flaubert’s Art: Beauty versus Tragedy?,ss array of cell functions, to the sorting, filtering, and querying, to PivotTable and PivotChart reports, to the Data Analysis tools, there seems to be a tool for almost every analytical need. Yet, there are a number of tools we have not exercised; in particular, the optimization tool Solver. Solve作者: B-cell 時間: 2025-3-28 12:06
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Flat-Panel Display Design Issues,first glimpse of another form of statistical analysis known as .. Inferential statistics is how statisticians use inductive reasoning to move from the specific, the data contained in a sample, to the general, inferring characteristics of the population from which the sample was taken.作者: 虛構的東西 時間: 2025-3-28 23:38
Inferential Statistical Analysis of Data,first glimpse of another form of statistical analysis known as .. Inferential statistics is how statisticians use inductive reasoning to move from the specific, the data contained in a sample, to the general, inferring characteristics of the population from which the sample was taken.作者: 種植,培養(yǎng) 時間: 2025-3-29 03:24
Jan Boj?,Karl-G?ran M?ler,Lena Unemoresentatives of this class of algorithms, with genetic programming and classifier systems as additional paradigms in the field..This paper focuses on the link between evolutionary computation and DNA-based computing by discussing the relevant aspects of evolutionary computation both from a practical
