Trending Device Readiness and Device Return Rate

2018 ◽  
pp. 53-67
Author(s):  
Ye Ouyang ◽  
Mantian Hu ◽  
Alexis Huet ◽  
Zhongyuan Li
Keyword(s):  
Return Rate

ANALISIS PORTOFOLIO INVESTASI PADA SAHAM LQ45 DENGAN METODE MEAN VARIAN SATU KONSTRAIN

Jurnal Varian ◽  
2018 ◽  
Vol 1 (2) ◽  
pp. 22-29
Author(s):  
Gilang Primajati
Keyword(s):  
Capital Markets ◽  
Minimum Variance ◽  
Return Rate ◽  
Optimal Portfolio ◽  
Portfolio Diversification ◽  
Portfolio Risk ◽  
Expected Return ◽  
Positive Weight ◽  
The Mean

In the capital markets, especially the investment market, the establishment of a portfolio is something that must be understood by investors. Portfolio formation by investors to maximize profits as much as possible by minimizing the risk of losses that may occur. Portfolio diversification is defined as portfolio formation in such a way that it can reduce portfolio risk without sacrificing returns. Optimal portfolio with efficient-portfolio mean criteria, investors only invest in risk assets only. Investors do not include risk free assets in their portfolios. The efficient variance portfolio is defined as a portfolio that has minimum variance among the overall possible portfolio that can be formed, at the same expected return rate. The mean method of one constraint variant can be used as the basis for optimal portfolio determination. The shares of LQ-45 used are shares of AALI, BBCA, UNVR, TLKM and ADHI. AALI shares received a positive weight of 7%, BBCA 48%, UNVR 16%, TLKM 26% and ADHI 3%

Simple Return Rate at Imprecision Risk

2011 ◽  
Author(s):  
Krzysztof Maciej Piasecki
Keyword(s):  
Return Rate

scholarly journals Inventory model for disassembly systems with price dependent return rate

2020 ◽  
Vol 53 (2) ◽  
pp. 10849-10854
Author(s):  
Matthieu Godichaud ◽  
Lionel Amodeo
Keyword(s):  
Inventory Model ◽  
Return Rate

Prey Body Size and Ranking in Zooarchaeology: Theory, Empirical Evidence, and Applications from the Northern Great Basin

2011 ◽  
Vol 76 (3) ◽  
pp. 403-428 ◽  
Author(s):  
Jack M. Broughton ◽  
Michael D. Cannon ◽  
Frank E. Bayham ◽  
David A. Byers
Keyword(s):  
Body Size ◽  
Great Basin ◽  
Diet Breadth ◽  
Foraging Theory ◽  
Return Rate ◽  
The Body ◽  
Foraging Efficiency ◽  
Large Prey ◽  
Abundance Indices ◽  
Game Hunting

The use of body size as an index of prey rank in zooarchaeology has fostered a widely applied approach to understanding variability in foraging efficiency. This approach has, however, been critiqued—most recently by the suggestion that large prey have high probabilities of failed pursuits. Here, we clarify the logic and history of using body size as a measure of prey rank and summarize empirical data on the body size-return rate relationship. With few exceptions, these data document strong positive relationships between prey size and return rate. We then illustrate, with studies from the Great Basin, the utility of body size-based abundance indices (e.g., the Artiodactyl Index) when used as one component of multidimensional analyses of prehistoric diet breadth. We use foraging theory to derive predictions about Holocene variability in diet breadth and test those predictions using the Artiodactyl Index and over a dozen other archaeological indices. The results indicate close fits between the predictions and the data and thus support the use of body size-based abundance indices as measures of foraging efficiency. These conclusions have implications for reconstructions of Holocene trends in large game hunting in western North America and for zooarchaeological applications of foraging theory in general.

Crossvalidation of some psychometric properties of the CSQ and its differential return rate as a function of token financial incentive

1986 ◽  
Vol 22 (1) ◽  
pp. 49-55 ◽  
Author(s):  
Robert T. Weltzien ◽  
Timothy J. McIntyre ◽  
John A. Ernst ◽  
James A. Walsh ◽  
James K. Parker
Keyword(s):  
Psychometric Properties ◽  
Financial Incentive ◽  
Return Rate

The Study of Differential Pricing Model in Market of Urban Taxi Industry Based on the Zoning Service

2014 ◽  
Vol 587-589 ◽  
pp. 1932-1939
Author(s):  
Qi Yuan Liu ◽  
Liang Jie Xu ◽  
Dan Ying
Keyword(s):  
Load Ratio ◽  
Return Rate ◽  
Pricing Model ◽  
Trip Distribution ◽  
Model Based ◽  
Taxi Service ◽  
Differential Pricing ◽  
The Difference ◽  
Taxi Industry ◽  
Negative Phenomena

In some cities, the zoning operation in taxi service leads to the difference in load ratio and empty return rate in their limited zones. Therefore, some negative phenomena appear such as the instability of drivers’ income and drivers negotiate the price without taximeter. In order to keep a balance between enhancing the drivers’ profit and protecting the passengers’ interests, establishing a differential pricing model based on the characteristics of taxi service in different zones. The operation areas, trip intensity and trip distribution have been taken into consideration about different taxi service zones in the model.

Research of Building Intelligent Investment Decision Mode for Investment Portfolio — Using Taiwan Electronic Stock as an Example

2010 ◽  
Vol 13 (04) ◽  
pp. 621-645 ◽  
Author(s):  
Wen-Rong Jerry Ho ◽  
C. H. Liu ◽  
H. W. Chen
Keyword(s):  
Stock Returns ◽  
Stock Prices ◽  
Stock Exchange ◽  
Investment Decision ◽  
Investment Strategy ◽  
Return Rate ◽  
Selection Strategy ◽  
Stock Selection ◽  
Taiwan Stock Exchange ◽  
Book To Market Ratio

This research uses all of the listed electronic stocks in the Taiwan Stock Exchange as a sample to test the performance of the return rate of stock prices. In addition, this research compares it with the electronic stock returns. The empirical result shows that no matter which kind of stock selection strategy we choose, a majority of the return rate is higher than that of the electronics index. Evident in the results, the predicted effect of BPNN is better than that of the general average decentralized investment strategy. Furthermore, the low price-to-earning ratio and the low book-to-market ratio have a significant long-term influence.

Semen Viability Properties of Sexually Stimulated Boars on the Fertilization Capacity of Artificially Inseminated Large White Sows

2021 ◽  
Author(s):  
Tshepo Teele
Keyword(s):  
Litter Size ◽  
Artificial Insemination ◽  
Practical Method ◽  
Return Rate ◽  
Practical Significance ◽  
Large White ◽  
Sexual Stimulation ◽  
Semen Collection ◽  
Fertilization Capacity ◽  
Farrowing Rate

Background: This study aimed to investigate the influences of sexual preparation on the effects of boars’ semen viability on the fertilization capacity of artificially inseminated sows. After all, boar sires more pigs than farrowed by a sow which the boar has been mated to improve reproductive parameters in response to AI. Methods: The semen viability of boars were studied during various sexual stimulations and analyzed during the study period. Sperm rich fractions were collected and separated at every level of sexual stimulation during the morning (08:30) and the afternoon (14:30) hours, respectively. Artificial insemination was performed following three levels of sexual preparations of boars (0 minutes of sexual restraint (MSR), 5 MSR and 10 MSR) before semen collection. Receptive sows were inseminated and evaluated for fertility traits using non-return rate, farrowing rate and litter size. Result: The non-return rate was recorded as a percentage of sows conceived after insemination over the total number of sows inseminated. The farrowing rate was recorded as a percentage of sows that farrows over the number of sows conceived and litter size as several live piglets per sow. Sexual desire was influenced by sexual preparations and significantly influenced the fertility of the artificially inseminated sows. This study is of practical significance to the animal breeder mainly because boars have greater influence than sows on the average litter size and live piglets. The study concludes that the use of at least 5 to 10 minutes of sexual restraint during the afternoon periods prior to semen collection and artificial insemination is found to be a practical method for optimizing sperm viability and fertility of sows in the intensive system.

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