On the Information Content of Wine Notes: Some New Algorithms?

2013 ◽  
Vol 8 (3) ◽  
pp. 318-334 ◽  
Author(s):  
Martin Klimmek

AbstractWe present a framework for measuring the information content or, more subjectively, the meaningfulness of wine tasting notes. Our analysis is based on developing a summary statistic related to Theil's uncertainty coefficient. The methods we develop can be used for the comparative analysis of tasting notes against a benchmark tasting system. An analysis of the examples of real and “fake” tasting notes in Quandt (2007) illustrates the method. We argue that the categorization of wine jargon leads to informative tasting notes. (JEL Classification: A12, C65, C83, D83)

2018 ◽  
Vol 7 (2.3) ◽  
pp. 746
Author(s):  
B Vishnu Priya ◽  
Dr JKR Sastry

Ability to transfer huge amount of content to the target is the present-day requirements of the users which is not being used through internet-based protocol due to static nature of the internet. Software defined networks (SDN) provides the flexibility to implement any architecture as the control and data plane are separated. Information / content centric networks (ICN / CCN) can be implemented using SDN. The requirement of the massive delivery of the content can be archived through ICN/CCN.In this paper a comparative analysis of the methods used for building information centric networking ICN / CCN over software defined networks has been presented. The areas of research that needs to be undertaken further have also been cited in the paper. 


2006 ◽  
Vol 7 (1) ◽  
Author(s):  
Yi-Ju Li ◽  
Puting Xu ◽  
Xuejun Qin ◽  
Donald E Schmechel ◽  
Christine M Hulette ◽  
...  

2017 ◽  
Vol 16 (2) ◽  
pp. 169-187 ◽  
Author(s):  
Rajesh Pathak ◽  
Thanos Verousis ◽  
Yogesh Chauhan

This study examines the information content of pricing error, measured by the difference between the implied price computed using the cost of carry model and the spot price of Single Stock Futures (SSFs), traded on National Stock Exchange (NSE), India. The returns of portfolios, based on ranking of such pricing errors, are investigated. The consistency of results is verified by controlling for established risk factors, that is, market, size, value and momentum premium, and idiosyncratic factors such as firm’s liquidity and size. Our study reveals that the pricing error is a priced risk factor that contains incremental information about stock returns of day t, and not beyond. We conclude that implied spot prices from stock futures market are useful for traders to profit in the spot market. JEL Classification: G120, G130


2007 ◽  
Vol 8 (S2) ◽  
Author(s):  
Trevor I Dix ◽  
David R Powell ◽  
Lloyd Allison ◽  
Julie Bernal ◽  
Samira Jaeger ◽  
...  

Author(s):  
S. Fedushko ◽  
Yu. Sierov

The Internet has opened new opportunities for effective communication of information provision activities of various institutions. Museums did not become an exception and began to apply new means in communication policy. Virtual exhibitions solve the problems of saving time and financial costs, however, carrying important information content. The experience of world exhibitions of medical museums is considerably higher than the level of virtual exhibitions implementation in Ukraine.


1989 ◽  
Vol 7 (2) ◽  
pp. 305-313 ◽  
Author(s):  
G. Velarde ◽  
J. M. Aragonés ◽  
J. J. Honrubia ◽  
J. M. Martínez-Val ◽  
E. Mínguez ◽  
...  

New improvements in the atomic physics models for numerically treating high density plasmas, typical of ICF, together with new algorithms for multigroup radiation transport are presented.The performance of Large High Aspect Ratio Targets has been numerically determined by using those models implemented in a one-dimensional hydro code. Some differences from experiments are identified, and a comparative analysis with other numerical codes is given.


Author(s):  
Anatolii Ilnitskiy ◽  
Oleg Burba

The procedures of comparative analysis using statistical criteria for evaluating the information content of radio sources of telecommunication networks and systems in their classification and recognition as a set of formalized rules for collecting, processing and analyzing the information obtained are considered. In the introduction, the general processes of recognition and classification of sources of radio emission of telecommunication networks are analyzed, the main statistical criteria for evaluating the information content of information features are given. It is noted that most of the mentioned criteria of recognition allow to carry out only ranking of signs and do not provide the solution of the problem of quantitative estimation of their informativeness by the criterion of minimum probability of error or maximum probability of true recognition. With this in mind, a research goal has been formed, which is to develop a procedure for comparative analysis using statistical criteria for evaluating the information content of radio sources of telecommunication networks and systems in their classification and recognition, as a set of formalized rules for collecting, processing and analyzing the information obtained. The study found that the exact value of the probability of error is difficult to obtain, since its estimation requires knowledge of decision thresholds. The integration in the calculation is only possible numerically. Therefore, in order to solve the recognition problem, it is advisable not to use the error probabilities, but their boundaries (upper and lower), which must be strict on the one hand and easily calculated analytically on the other. It should also be borne in mind that the probability of errors and their boundaries are uniquely related to the class distance (classes), which in turn must be clearly related to the probability of true recognition. Based on the analysis of analytical expressions of the statistical criteria for estimating interclass distances, recognition theory establishes mutual analytical relationships between the main criteria of interclass distances. It is substantiated and proposed to solve the problems of recognition by applying the Fali – Semmon transform, where the criterion of optimality is the maximum ratio of the mean differences of the projections of the vectors of the data of the classes to be recognized to the sum of the covariations in the middle of the classes in their projection to the parameter vector, resulting in a modified Fisher ratio. It is also determined that all the criteria considered are designed for a small number of recognition classes, whereas in practice the number of classes and their size is very large and their total number is unknown. Moreover, the recognition process is multi-parameter, which makes it difficult to solve the problems of classification and recognition of objects and sources of radio emission. To overcome this situation, it is proposed to use a criterion based on the coefficient of non-orthogonality of the conditional probability distributions of the probability of a trait, which can be considered as a


Sign in / Sign up

Export Citation Format

Share Document