標題: Titlebook: Belief Functions in Business Decisions; Rajendra P. Srivastava (Ernst & Young Professor an Book 2002 Physica-Verlag Heidelberg 2002 Audit. [打印本頁] 作者: hector 時間: 2025-3-21 16:06
書目名稱Belief Functions in Business Decisions影響因子(影響力)
書目名稱Belief Functions in Business Decisions影響因子(影響力)學科排名
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書目名稱Belief Functions in Business Decisions被引頻次學科排名
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書目名稱Belief Functions in Business Decisions年度引用學科排名
書目名稱Belief Functions in Business Decisions讀者反饋
書目名稱Belief Functions in Business Decisions讀者反饋學科排名
作者: 聽寫 時間: 2025-3-21 23:12
Jorge Alberto Achcar,Jose Carlos Fogoate probability function must be explained and justified. This probability function does not represent a state of belief, it is just the additive measure needed to compute the expected utilities. Other models of decision making when beliefs are represented by belief functions have also been suggeste作者: molest 時間: 2025-3-22 01:19 作者: 貪心 時間: 2025-3-22 04:52
Industrial Assistance in Pre-War Britain,babilities. This study examines the question of expressing the support provided by audit evidence empirically. Auditors are asked to express the level of support that evidence provides for or against an assertion or account and the ignorance that remains about the assertion or account after consider作者: condemn 時間: 2025-3-22 12:42
https://doi.org/10.1007/978-3-030-36660-5illustrative examples. Axioms for conflict in the context of its intended use are given, and it is argued that dissonance may be the conflict measure that fits them most closely. Finally, a method is given for using conflict to decide which of a set of beliefs to retract (or discount).作者: probate 時間: 2025-3-22 15:20
Decision Making in a Context where Uncertainty is Represented by Belief Functionsate probability function must be explained and justified. This probability function does not represent a state of belief, it is just the additive measure needed to compute the expected utilities. Other models of decision making when beliefs are represented by belief functions have also been suggeste作者: 平庸的人或物 時間: 2025-3-22 21:08 作者: 性行為放縱者 時間: 2025-3-23 00:10
Auditors’ Evaluations of Uncertain Audit Evidence: Belief Functions versus Probabilitiesbabilities. This study examines the question of expressing the support provided by audit evidence empirically. Auditors are asked to express the level of support that evidence provides for or against an assertion or account and the ignorance that remains about the assertion or account after consider作者: POINT 時間: 2025-3-23 02:18 作者: V切開 時間: 2025-3-23 07:16
Introduction to Belief Functionsrtainly. The main body of the chapter is an introduction to Belief Functions. The introduction includes a discussion of the fundamental constructs and then illustrates the use of belief functions in a business (audit) setting.作者: 厚臉皮 時間: 2025-3-23 10:40 作者: GRATE 時間: 2025-3-23 14:50
Empirical Models for the Dempster-Shafer-Theoryism is connected with the relationship between the belief function (the basic concept of DST) and frequencies [65,18]. A number of attempts to interpret belief functions in terms of probabilities have failed so far to produce a fully compatible interpretation with DST — see e.g. [34,18,14] etc. As a作者: Brocas-Area 時間: 2025-3-23 18:39
The Descriptive Ability of Models of Audit Riskshould be affected by risk assessments. Various models that could assist auditors in the risk assessment task have been discussed in the auditing literature..This study investigated the degree of consistency between auditors’ intuitive assessments of audit risk and the audit risk values generated by作者: 浪費時間 時間: 2025-3-23 22:47 作者: 步履蹣跚 時間: 2025-3-24 04:48
Auditors’ Evaluations of Uncertain Audit Evidence: Belief Functions versus Probabilities function evidential networks. These networks can express the support that audit evidence provides for assertions, accounts and financial statements. These networks can also aggregate many pieces of evidence into an overall level of support for a particular assertion, account or an entire set of fin作者: conscience 時間: 2025-3-24 07:24 作者: 鼓掌 時間: 2025-3-24 14:02
Evaluating Mergers and Acquisitions: A Belief Function Approach firm management to effectively evaluate potential acquisition candidates. This is not surprising given the considerable uncertainties surrounding both the relationships among factors in the evaluation process and also in the assessment of evidence. This paper develops a conceptual framework for acq作者: Diastole 時間: 2025-3-24 18:30 作者: 天真 時間: 2025-3-24 23:02
Using Belief Functions to Forecast Demand for Mobile Satellite Servicesting demand for a new product or service is always difficult. It is more so when the product category itself is new, and so unfamiliar to potential consumers, and the quality of service of the product is dependent upon a new technology whose actual performance quality is not known in advance. In suc作者: Throttle 時間: 2025-3-25 01:27 作者: 軌道 時間: 2025-3-25 06:07
Futures Hedging under Prospect Utility and Knightian Uncertainty joint density function of spot and futures prices. Loss aversion dictates that an individual is more sensitive to losses (compared to a reference point) than to gains. The optimal futures position is characterized. It is found that inertia prevails. That is, there is a wide range of parameter confi作者: Noisome 時間: 2025-3-25 08:35 作者: 不容置疑 時間: 2025-3-25 12:34 作者: 演繹 時間: 2025-3-25 16:54
R. C. Boucher L.I.O.B., M.R.S.H., F.B.I.C.C.ism is connected with the relationship between the belief function (the basic concept of DST) and frequencies [65,18]. A number of attempts to interpret belief functions in terms of probabilities have failed so far to produce a fully compatible interpretation with DST — see e.g. [34,18,14] etc. As a作者: 彩色 時間: 2025-3-25 20:42 作者: 有組織 時間: 2025-3-26 00:58
Industrial Assistance in Pre-War Britain,ning audit risk in complex audit situations. The first approach uses probability theory and the audit risk model to combine two different items of audit evidence from analytical procedures and tests of details. The second approach is based on the belief function framework and uses the Dempster-Shafe作者: mercenary 時間: 2025-3-26 05:51 作者: nonsensical 時間: 2025-3-26 11:10
https://doi.org/10.1007/978-3-030-36660-5 in the case of probability theory; assessing this conflict can be important for the strategic choices of whether to seek additional evidence or to discount or retract existing evidence, and which beliefs to retract; it is important to consider not just the external conflict between beliefs, but the作者: 直言不諱 時間: 2025-3-26 15:58 作者: Trochlea 時間: 2025-3-26 19:58 作者: 青春期 時間: 2025-3-26 22:04 作者: 摻假 時間: 2025-3-27 02:21 作者: flaunt 時間: 2025-3-27 08:19 作者: 發(fā)生 時間: 2025-3-27 12:43
Rajendra P. Srivastava (Ernst & Young Professor anIntroduction into the concept of belief functions.- Applications in information systems, auditing, and mergers and acquisitions.Includes supplementary material: 作者: Consequence 時間: 2025-3-27 14:41
Studies in Fuzziness and Soft Computinghttp://image.papertrans.cn/b/image/183298.jpg作者: Hallowed 時間: 2025-3-27 19:17
Introduction to Belief Functionsrtainly. The main body of the chapter is an introduction to Belief Functions. The introduction includes a discussion of the fundamental constructs and then illustrates the use of belief functions in a business (audit) setting.作者: gonioscopy 時間: 2025-3-28 00:28
Modeling Financial Portfolios Using Belief Functionsbe used to model financial portfolios. In particular, we are interested in modeling how a portfolio return distribution changes as we learn new information about the different factors that impact the portfolio.作者: 紡織品 時間: 2025-3-28 04:56
Belief Functions in Business Decisions978-3-7908-1798-0Series ISSN 1434-9922 Series E-ISSN 1860-0808 作者: 合法 時間: 2025-3-28 08:06 作者: 語言學 時間: 2025-3-28 11:23
https://doi.org/10.1007/978-3-319-64540-7be used to model financial portfolios. In particular, we are interested in modeling how a portfolio return distribution changes as we learn new information about the different factors that impact the portfolio.作者: 臥虎藏龍 時間: 2025-3-28 16:00 作者: 名字的誤用 時間: 2025-3-28 19:34 作者: 逢迎春日 時間: 2025-3-29 02:40
Book 2002of belief functions. Three different interpretations (the marginally correct approximation, the qualitative model, and the quantitative model) of belief functions are investigated, and rough set theory and structured query language (SQL) are used to express belief function semantics. Section II pres作者: Digest 時間: 2025-3-29 03:23 作者: enlist 時間: 2025-3-29 08:05 作者: 皮薩 時間: 2025-3-29 12:06
Industrial System Engineering for Droneshted is the fact that the nature and extent of evidence that needs to be collected depends on the rules assumed to govern relationships among input variables. Implications for theory and practice are discussed.作者: 失眠癥 時間: 2025-3-29 18:37
System Assembly, Bring-Up and Validation, part explaining the basic notions through a simple (probabilistic) example. The paper is concluded by a lucid example: an application of the apparatus for fundamental analysis of engineering enterprises.作者: Interlocking 時間: 2025-3-29 19:48
The Effectiveness and Efficiency of Belief Based Audit Proceduresan the traditional approach. With respect to audit effectiveness, the belief based approach turns out to be best. Furthermore, the results show that the belief based audit is more robust when there are small failures in interpreting information provided by analytical procedures.作者: PALMY 時間: 2025-3-30 02:23
Evaluating Mergers and Acquisitions: A Belief Function Approachhted is the fact that the nature and extent of evidence that needs to be collected depends on the rules assumed to govern relationships among input variables. Implications for theory and practice are discussed.作者: Watemelon 時間: 2025-3-30 05:26 作者: 具體 時間: 2025-3-30 08:18
