scholarly journals A Tournament Approach to Price Discovery in the U.S. Cattle Market

2020 ◽  
pp. 1-16
Author(s):  
Jeffrey Wright ◽  
Man-Keun Kim ◽  
Hernan A. Tejeda ◽  
Hwa-Neyon Kim
Keyword(s):  
Cluster Analysis ◽  
Futures Markets ◽  
Hierarchical Cluster ◽  
Correction Model ◽  
Cattle Markets ◽  
Price Leader ◽  
Dynamic Relationships ◽  
Cattle Market ◽  
The U.S

Abstract The dominant market where information is discovered plays the role of price leader providing substantial market information to other markets. This study investigates the dynamic relationships of 30 cattle markets across regions, cattle types, and cash/futures markets. The comparison of many markets, using an error correction model, is accomplished with the introduction of a tournament with a hierarchical cluster analysis, which allows us to conclude that the leading price for the U.S. cattle markets is discovered in the futures markets for both feeder and fed cattle.

scholarly journals Quantifying Sweet Taste Liker Phenotypes: Time for Some Consistency in the Classification Criteria

Nutrients ◽  
2019 ◽  
Vol 11 (1) ◽  
pp. 129 ◽  
Author(s):  
Vasiliki Iatridi ◽  
John Hayes ◽  
Martin Yeomans
Keyword(s):  
Cluster Analysis ◽  
Young Adults ◽  
Hierarchical Cluster ◽  
Sweet Taste ◽  
Classification Criteria ◽  
Ingestive Behavior ◽  
Response Patterns ◽  
Sucrose Solutions ◽  
Liking Rating

Taste hedonics is a well-documented driver of food consumption. The role of sweetness in directing ingestive behavior is largely rooted in biology. One can then intuit that individual differences in sweet-liking may constitute an indicator of variations in the susceptibility to diet-related health outcomes. Despite half a century of research on sweet-liking, the best method to identify the distinct responses to sweet taste is still debated. To help resolve this issue, liking and intensity ratings for eight sucrose solutions ranging from 0 to 1 M were collected from 148 young adults (29% men). Hierarchical cluster analysis (HCA) revealed three response patterns: a sweet-liker (SL) phenotype characterized by a rise in liking as concentration increased, an inverted U-shaped phenotype with maximum liking at 0.25 M, and a sweet-disliker (SD) phenotype characterized by a decline in liking as a function of concentration. Based on sensitivity and specificity analyses, present data suggest the clearest discrimination between phenotypes is seen with 1.0 M sucrose, where a liking rating between −15 and +15 on a −50/+50 scale reliably distinguished individuals with an inverted U-shaped response from the SLs and the SDs. If the efficacy of this approach is confirmed in other populations, the discrimination criteria identified here can serve as the basis for a standard method for classifying sweet taste liker phenotypes in adults.

Macro-Systems Role of Marketing

2011 ◽  
Vol 31 (4) ◽  
pp. 359-375 ◽  
Author(s):  
Djavlonbek Kadirov
Keyword(s):  
Error Correction ◽  
Economic Welfare ◽  
Correction Model ◽  
Trade Off ◽  
Societal Welfare ◽  
Long Run ◽  
Structural Error ◽  
Indirect Impact ◽  
The U.S

The purpose of this research is to advance understanding of the macro-systems role of marketing. The author augments the equivocal principle of marketing (EPM) with the hypothesis that marketing has a negative indirect impact on societal welfare. The estimation of a structural error correction model in the context of the U.S. marketing system confirms that there exists a negative long-run relationship between environmental entropy and sustainable welfare with marketing positively associated with environmental entropy. This fact invalidates the assumptions behind the trade-off conjecture, which could only be supported if one is willing to accept the economic welfare myth.

scholarly journals The U.S. Potato Chip Market: A Competitive Profile

2020 ◽  
Vol 6 (4) ◽  
pp. p86
Author(s):  
Y. Datta
Keyword(s):  
Cluster Analysis ◽  
Market Share ◽  
Potato Chip ◽  
Hierarchical Cluster ◽  
Relative Price ◽  
Unit Price ◽  
Retail Sales ◽  
Consumer Markets ◽  
Market Leader ◽  
The U.S

This paper follows the footsteps of ten studies that have tried to analyze the competitive profile of U.S. consumer markets: Men’s Shaving Gel, Beer, Shampoo, Shredded/Grated Cheese, Refrigerated Orange Juice, Men’s Razor-Blades, Women’s Razor-Blades, Toothpaste, Canned Soup, and Coffee.Porter associates high market share with cost leadership strategy which is based on the idea of competing on a price that is lower than that of the competition. However, customer-perceived quality—not low cost—should be the underpinning of competitive strategy, because it is far more vital to long-term competitive position and profitability than any other factor. So, a superior alternative is to offer better quality vs. the competition.In most consumer markets a business seeking market share leadership should try to serve the middle class by competing in the mid-price segment; and offering quality better than that of the competition: at a price somewhat higher, to signify an image of quality, and to ensure that the strategy is both profitable and sustainable in the long run. Quality, however, is a complex concept consumers generally find difficult to understand. So, they often use relative price, and a brand’s reputation, as a symbol of quality.In 2008 the U.S. retail sales for the Potato Chip market were $3.07 Billion. The pack sizes varied from 0.8oz to 50oz, with the 9-13oz packs being the most popular with a 33% share. So, we have focused cluster analysis on this size.In 2008 the U.S. Potato Chip market was highly competitive—notwithstanding the dominance of Pepsi Co.’s Lay’s brand family—with a total of 254 brands.Using Hierarchical Cluster Analysis, we tested two hypotheses: (1) That the market leader is likely to compete in the mid-price segment, and that (2) Its unit price is likely to be higher than that of the nearest competition. Employing U.S. retail sales data for 2008 and 2007 we found that the results supported Hypothesis I; both the market leader Lay’s Plain Potato Chip brand--and the runner-up Pringles Original Potato Chip brand--were members of the mid-price segment. However, while the unit price of the market leader was somewhat higher than that of the runner-up for 2008—as we have hypothesized--this was not the case for 2007, although the price difference between the two brands did not seem statistically significant.We found that relative price was a strategic variable, as hypothesized.We also discovered four strategic groups in the industry.This is the eleventh in the study of U.S. consumer markets we have cited above. In eight of these—that exclude Men’s and Women’s Razor-Blades, and Ground Coffee—a pattern has emerged. In all eight cases the market leader was a member of the mid-price segment, as we have hypothesized.Finally, in the words of Dirk Burhans, the author of Crunch, it is important to realize that a “potato chip could be such a subtle, delicate experience”.

scholarly journals Macro-systems role of marketing: Do we trade environment for welfare?

2020 ◽  
Author(s):  
Djavlonbek Kadirov
Keyword(s):  
Error Correction ◽  
Economic Welfare ◽  
Correction Model ◽  
Trade Off ◽  
Societal Welfare ◽  
Long Run ◽  
Structural Error ◽  
Indirect Impact ◽  
The U.S

The purpose of this research is to advance understanding of the macro-systems role of marketing. The author augments the equivocal principle of marketing (EPM) with the hypothesis that marketing has a negative indirect impact on societal welfare. The estimation of a structural error correction model in the context of the U.S. marketing system confirms that there exists a negative long-run relationship between environmental entropy and sustainable welfare with marketing positively associated with environmental entropy. This fact invalidates the assumptions behind the trade-off conjecture, which could only be supported if one is willing to accept the economic welfare myth. © SAGE Publications 2011.

scholarly journals Neuropsychological Method in the Differential Diagnosis of Cognitive Impairment in Children and Adolescents with Mental Disorders

2017 ◽  
Vol 6 (2) ◽  
pp. 141-157
Author(s):  
A. Sergienko
Keyword(s):  
Cluster Analysis ◽  
Children And Adolescents ◽  
Cognitive Deficits ◽  
Hierarchical Cluster ◽  
Schizophrenia Spectrum Disorders ◽  
Qualitative And Quantitative ◽  
Schizophrenia Spectrum ◽  
Neuropsychological Diagnostics ◽  
Spectrum Disorders

The article describes the neuropsychological techniques which are applied in the clinical practice in child psychiatry. It describes a system of qualitative and quantitative neuropsychological diagnostics. The role of neuropsychological analysis of the cognitive deficits associated with schizophrenia spectrum disorders in children and adolescents is reflected. Hierarchical cluster analysis according to neuropsychological diagnosis helps in the establishing the psychiatric diagnosis.

scholarly journals Macro-systems role of marketing: Do we trade environment for welfare?

2020 ◽  
Author(s):  
Djavlonbek Kadirov
Keyword(s):  
Error Correction ◽  
Economic Welfare ◽  
Correction Model ◽  
Trade Off ◽  
Societal Welfare ◽  
Long Run ◽  
Structural Error ◽  
Indirect Impact ◽  
The U.S

The purpose of this research is to advance understanding of the macro-systems role of marketing. The author augments the equivocal principle of marketing (EPM) with the hypothesis that marketing has a negative indirect impact on societal welfare. The estimation of a structural error correction model in the context of the U.S. marketing system confirms that there exists a negative long-run relationship between environmental entropy and sustainable welfare with marketing positively associated with environmental entropy. This fact invalidates the assumptions behind the trade-off conjecture, which could only be supported if one is willing to accept the economic welfare myth. © SAGE Publications 2011.

DRSA: a non-hierarchical clustering algorithm using k-NN graph and its application in vegetation classification

2015 ◽  
pp. 125-138 ◽  
Author(s):  
I. V. Goncharenko
Keyword(s):  
Cluster Analysis ◽  
Clustering Algorithm ◽  
Nearest Neighbor ◽  
Clustering Algorithms ◽  
Protein Structures ◽  
Hierarchical Cluster ◽  
Vegetation Classification ◽  
K Nearest Neighbor ◽  
Neighbor Graph ◽  
Nearest Neighbor Graph

In this article we proposed a new method of non-hierarchical cluster analysis using k-nearest-neighbor graph and discussed it with respect to vegetation classification. The method of k-nearest neighbor (k-NN) classification was originally developed in 1951 (Fix, Hodges, 1951). Later a term “k-NN graph” and a few algorithms of k-NN clustering appeared (Cover, Hart, 1967; Brito et al., 1997). In biology k-NN is used in analysis of protein structures and genome sequences. Most of k-NN clustering algorithms build «excessive» graph firstly, so called hypergraph, and then truncate it to subgraphs, just partitioning and coarsening hypergraph. We developed other strategy, the “upward” clustering in forming (assembling consequentially) one cluster after the other. Until today graph-based cluster analysis has not been considered concerning classification of vegetation datasets.

Aversive Textures and Their Role in Food Rejection

2020 ◽  
Author(s):  
Robert Pellegrino ◽  
Curtis Luckett
Keyword(s):  
Cluster Analysis ◽  
Psychological Factors ◽  
Sensory Attributes ◽  
Prominent Feature ◽  
Large Vocabulary ◽  
Common Food ◽  
Sensory Attribute ◽  
Touch Sensitivity

Texture is a prominent feature in foods and consequently can be the reason a food is accepted or rejected. However, other sensory attributes, such as flavor/taste, aroma, sound and appearance may also lead to the rejection of food and motivations other than unpleasantness exist in unacceptance. To date, these motivations for food rejection have been studied in isolation and their relationships with psychological factors have not been tested. This study measured reasons people reject a food and probed into the specifics of texture rejection. A large U.S. sample (N=473) was asked to rate their motivations for rejecting a food, list foods that were disliked due to unpleasant sensory attributes, specify the unpleasant sensory attribute(s), and complete an assessment of general touch sensitivity. Results showed 94% of individuals reject a food due to its texture, a rate comparable to flavor-based rejection. Looking at the number of foods being rejected, flavor was the most common food attribute, followed by texture and then aroma. From a linguistic standpoint, aversive textures encompass a large vocabulary, larger than liked textures, and the same food may be rejected due to a single or combination of texture terms. Viscosity (e.g. slimy) and hardness (e.g. mushy) are the most common aversive texture types, but through cluster analysis subsets of individuals were identified that are more aversive to other textures. This study emphasizes the role of aversive textures in food rejection and provides many avenues for future investigations.

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