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When the new batches of data are included, a strategy based on the RGP model is used to choose the proper data for model updating. ... In chemical batch processes with slow responses and a long duration, it is time-consuming and expensive to obtain sufficient normal data for statistical analysis. ... When a new sample of the process variables x * is collected, the prediction value of quality can be estimated using (3) and the SPE statistic is calculated using (7) . ...doi:10.1155/2015/761280 fatcat:d5makzijmbbfxatgt653qi3bgu
International conference KNOWLEDGE-BASED ORGANIZATION
As a means of investigation we used a questionnaire with 26 questions answered by 598 SMEs, the purpose being represented by identifying, on the one hand, the used methods of strategic management and, ... The responses from the distribution of the questionnaire were analyzed by various statistical and econometric methods. ... We used the questionnaire as a data collection technique focusing on: • the degree of adaptation of SMEs from Romania to the new concepts, strategy and strategic management; • the extent to which SMEs ...doi:10.1515/kbo-2017-0070 fatcat:pr36ouh35zgvfov6kq2zkfprxq
of changes in climatic conditions by the use of new adaptation methods. ... We employed descriptive statistics to assess how farmers perceive the effects of climate change and descriptively measured the new adaptation methods used by farmers in Bugarama to increase their yields ... Moreover, this had a probability of 47.2% to make choice on new adaptation strategies. ...doi:10.37284/eajab.2.1.137 fatcat:jxeg4lvs5ra4fh3k7ybdxgkdm4
Software design impacts much of statistical analysis and, as technology changes, dramatically so in recent years, it is exciting to learn how statistical software is adapting and changing. ... This leads to the collection of papers published here, written by John Chambers, Duncan Temple Lang, Michael Lawrence, Martin Morgan, Yihui Xie, Heike Hofmann and Xiaoyue Cheng. ... This collection of papers on statistical computing and visualization methods is partly a product of invited session 267 of the 2012 Joint Statistical Meetings of the ASA, entitled "Contemporary Software ...doi:10.1214/14-sts481 fatcat:qzrxvqjmrvdd7bi4nfgqdwmvqe
The notion of RAD is not new; nor is it a silver bullet to resolve all the difficulties of complex survey design and challenges. ... We call it responsive and adaptive design (RAD), a scientific framework driven by cost-quality tradeoff analysis and optimization that enables the most efficient production of high-quality data. ... New developments in survey designs and methods can often take a decade or more to develop and mature with respect to research, publication, and applications in the field. ...doi:10.2478/jos-2018-0028 fatcat:rtlizqhja5cjbgu743hzx2xwe4
The increasing use of computer-based testing and learning environments is leading to a significant reform on the traditional form of measurement, with tremendous extra available data collected during the ... The recent advances in computer technology enhance the convenient collection of process data in computer-based assessment. ... AUTHOR CONTRIBUTIONS All authors listed have made a substantial, direct, and intellectual contribution to the work and approved it for publication. ...doi:10.3389/fpsyg.2021.793399 pmid:34925194 pmcid:PMC8677654 fatcat:iac4duclrnfobasgtn5jilaamu
Vandenplas, Loosveldt and Beullens propose a new model-based method for comparing fieldwork progress across surveys. ... The method helps identify outlier events in the data collection process and may provide a signal of potential problems to survey managers. ...doi:10.1515/jos-2017-0027 fatcat:fmeyhndabjcl7krbnxkakk5pbu
The main idea here is to develop strategies to improve MCMC sampling efficiency through a synthesis of delayed rejection and adaptive Monte Carlo methods. ... Introduction to "Efficient computational strategies for doubly intractable problems with applications to Bayesian social networks" by A. Caimo, A. ...doi:10.1007/s11222-014-9535-4 fatcat:cwhb6ss6snaode7w4itpkjv6ge
The use of computers to simulate adaptive algorithms has proved critical in uncovering the (sometimes unexpected) implications of new testing procedures. ... Third, the increasing power of computers enables a kind of stimulus control and data analysis (including the statistical methods just mentioned) that were not available to earlier investigators. ... Perhaps as a consequence, articles using adaptive and other psychometric-function methods often employ methods that are not state-of-the-art. ...doi:10.3758/bf03194542 pmid:11800456 fatcat:yoj25ctwyvhp7lc72v6zwf3dq4
This paper constructs a statistical sequence model of adaptive connection access data to extract the descriptive statistical features of the distributed network block chain adaptive connection access data ... The performance of the strategy retrieval efficiency in the experiment is tested based on the strategy management method. ... Combined with the quantitative regression analysis method, the optimal statistical feature quantity is calculated. ...doi:10.46300/9106.2022.16.27 fatcat:o5j4lpsjvbb5hedr7dw3jw5suy
An algorithm is suggested for the maximum information item selection criterion for adaptive testing and is com- pared with a full bank search algorithm. Statistics & Mathematics Books 9981. ... The procedure is illustrated for an adaptive version of a test from the Dutch General Aptitude Test Battery, with response time on a prior test as a background variable. 9980. Veerkamp, Wim J. ...
statistical properties. ... To prevent any confusion with Eddies-based systems [12, 33] , a route in our work is a fully pre-computed query plan. ... Input Data Monitoring For data monitoring, we sample the arriving to the server data to collect a new training dataset. ...doi:10.1145/1516360.1516452 dblp:conf/edbt/NehmeRB09 fatcat:md2ivbw2vbe47kdk537e2fuwxe
EFind collects index statistics and performs cost-based adaptive optimization to improve index access efficiency. ... We propose and analyze a number of index access strategies that utilize caching, re-partitioning, and index locality to reduce redundant index accesses. ... It collects index access statistics on the fly, and adaptively re-optimizes a job when necessary. ...doi:10.1002/dac.2619 fatcat:5zw2nmzn2nge7lpkmqaiqzxtlq
Neéval’, New methods for the synthesis of optimal statistical deci- sion functions under a priori uncertainty conditions (pp. 259-288). ... North-Holland Publishing Co., Amsterdam-New York- Oxford, 1979. xxvi+ 1114 pp. $97.75. ISBN 0-444-85230-1 The sixty-three papers in this collection include the following: James G. ...
MOTIVATION • Fresh view on the standardization vs. adaptation debate: -We focus on strategy change overtime rather than the adoption of a given international strategy. ... -We lift the veil about the process and the dynamics by which firms change their strategies and become more or less adapted to foreign environments. ... one factor test -Collected additional objective data (growth in sales) to compare the results with the subjective data METHOD Common Method Bias METHOD Common Method Bias Performance Variable ...doi:10.1016/j.jbusres.2012.05.018 fatcat:pjui4xru7ved5hngzjjrea4wga
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