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Titlebook: Applied Statistics for Economics and Business; Durmu? ?zdemir Textbook 2016Latest edition Springer Nature Switzerland AG 2016 Applied Stat

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發(fā)表于 2025-3-21 20:06:00 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
期刊全稱Applied Statistics for Economics and Business
影響因子2023Durmu? ?zdemir
視頻videohttp://file.papertrans.cn/161/160166/160166.mp4
發(fā)行地址Introduces the reader to practical statistical issues by presenting them within the context of real life economics and business situations.Covers index numbers and inequality indices? extensively?.Pro
圖書封面Titlebook: Applied Statistics for Economics and Business;  Durmu? ?zdemir Textbook 2016Latest edition Springer Nature Switzerland AG 2016 Applied Stat
影響因子.This textbook introduces readers to practical statisticalissues by presenting them within the context of real-life economics andbusiness situations. It presents the subject in a non-threatening manner, withan emphasis on concise, easily understandable explanations. It has beendesigned to be accessible and student-friendly and, as an added learningfeature, provides all the relevant data required to complete the accompanyingexercises and computing problems, which are presented at the end of eachchapter. It also discusses index numbers and inequality indices in detail,since these are of particular importance to students and commonly omitted intextbooks...Throughout the text it is assumed that the student has noprior knowledge of statistics. It is aimed primarily at business and economicsundergraduates, providing them with the basic statistical skills necessary forfurther study of their subject. However, students of other disciplines willalso find it relevant..
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書目名稱Applied Statistics for Economics and Business影響因子(影響力)




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Dietmar Schomburg,D?rte Stephanhat they are not very precise and do not allow for a further analysis. The following chapter introduces some simple numerical techniques that allow us to make a further summary on data by computing an ..
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Dietmar Schomburg,D?rte Stephanues do not say very much about the data itself and how it is dispersed (its spread). For instance, it is possible to take two separate sets of data with the same mean, but with great differences in distribution.
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Dietmar Schomburg,D?rte Stephandata or to know where the data can be found and describe it. Statistical inference involves drawing conclusions about a population from a sample of data, which is obtained from a population. If we want to understand sampling procedures and implications for statistical inference firstly probability t
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N-Acetylgalactosaminoglycan deacetylase,ar to estimation, but have some important subtle differences. There are two ways of drawing inferences about the parameters of a population. The first one is to make decisions concerning the value of the parameter and the second one is to actually estimate the value of the parameter. Estimating the
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