Results 111 to 120 of about 103,075 (296)

Return and Volatility Spillovers Among Major Cotton Markets

Agribusiness, EarlyView.
ABSTRACT This study explores return and volatility transmission among major cotton markets. Several events have disrupted cotton supply and demand in recent years, leading to heightened price volatility and significant shifts in market interconnections.
Susmitha Kalli, Berna Karali, Yangxuan Liu, Munisamy Gopinath   +3 more
wiley   +1 more source

MODEL SELECTION FOR B-SPLINE REGRESSION USING AKAIKE INFORMATION CRITERION (AIC) METHOD FOR IDR-USD EXCHANGE RATE PREDICTION

Barekeng
Exchange rate data is a collection of information about the exchange rate the foreign currency which collected by time. Autoregressive Integrated Moving Average (ARIMA) is a well-known time series analysis.
Indriani Wahyu Nur Pratiwi, Sri Utami Zuliana   +1 more
doaj   +1 more source

Marginal means of the proportions of models preferred by Akaike Information Criterion.

, 2019
Marginal means of the proportions of models preferred by Akaike Information Criterion.
Satoshi Usami (3154122), Naoya Todo (7439258), Kou Murayama (410315)   +2 more
core   +1 more source

Regional Differences in U.S. Consumer Preferences for Native Woody Shrubs With Varying Aesthetic Characteristics

Agribusiness, EarlyView.
ABSTRACT Native plants offer a variety of aesthetic (e.g., fall colour, fruit, flowers) and functional benefits (e.g., pollinator friendly, wildlife friendly, water management). How these benefits influence consumer choice and perceived value of native versus introduced plants is not well understood.
Alicia Rihn, Ariana P. Torres, Sue Barton, Bridget K. Behe   +3 more
wiley   +1 more source

Nutrients and Other Environmental Factors Influence Virus Abundances across Oxic and Hypoxic Marine Environments

Viruses, 2017
Virus particles are highly abundant in seawater and, on average, outnumber microbial cells approximately 10-fold at the surface and 16-fold in deeper waters; yet, this relationship varies across environments.
Jan F. Finke, Brian P.V. Hunt, Christian Winter, Eddy C. Carmack, Curtis A. Suttle   +4 more
doaj   +1 more source

Akaike\u27s Information Criterion (AIC) Untuk Seleksi Optimal Pada Model Neural Network = Akaike\u27s Information Criterion ( AIC) For The Selection Optimal Of Model Neural Network

, 2006
During the last twenty years, Akaike\u27s Information Criterion (AIC) has had a fundamental impact in statistical model evaluation problems. This paper studies the general theory of the Akaike\u27s Information Criterion (AIC) to determine the optimal ...
Rais , Subanar
core  

Does a Specialized Niche Market Vegetable Processor Enjoy Bargaining Power?

Agribusiness, EarlyView.
ABSTRACT Agribusiness companies may achieve competitive advantage through specialization within niche markets. One such niche is the fresh‐cut fruit and vegetable market, which has been steadily growing in Germany. This study examines whether the specialization of a German fresh‐cut producer grants it with market power within this niche market.
Nikolas Bublik, Franziska Mittag, Laura Hellstern, Sebastian Hess   +3 more
wiley   +1 more source

Predicting Consumer Price Index Movements with SARIMA: A Case from Kediri City

Journal of International Business, Economics and Entrepreneurship
The city of Kediri plays a significant role in driving the regional economy. One factor that plays an important role in regional economic stability is the Consumer Price Index (CPI).
Kurnia Ahadiyah
doaj   +1 more source

Information-Theoretical Criteria for Characterizing the Earliness of Time-Series Data

Entropy, 2019
Biomedical signals constitute time-series that sustain machine learning techniques to achieve classification. These signals are complex with measurements of several features over, eventually, an extended period.
Mariano Lemus, João P. Beirão, Nikola Paunković, Alexandra M. Carvalho, Paulo Mateus   +4 more
doaj   +1 more source

Akaike’s Information Criterion for Linearly Separable Clusters

Liceo Journal of Higher Education Research, 2013
Using the Akaike Information Criterion (AIC) in cluster analysis with linearly separable components, the paper demonstrates the superiority of using the vector of slopes as inputs to the K-Means algorithm over using the raw data in determining the number of clusters.
Roberto N. Padua, Maria Eda B. Arado
openaire   +1 more source