The Experts below are selected from a list of 65955 Experts worldwide ranked by ideXlab platform
Weimin Zheng - One of the best experts on this subject based on the ideXlab platform.
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using a heuristic algorithm to design a personalized day tour route in a time dependent stochastic environment
Tourism Management, 2018Co-Authors: Zhixue Liao, Weimin ZhengAbstract:Abstract A substantial transformation has occurred in tourist behavior in the postmodern tourism era, where the tourism market is dominated by the demand for tailored experiences. Therefore, the design of personalized tourist routes plays a fundamental role in improving tourists’ travel experiences and the success of tourist attractions. This study proposes a hybrid heuristic algorithm based on random simulation (RS-H2A) to design a personalized day tour route in a time-dependent stochastic environment. To evaluate the performance of this algorithm, we conducted a case study at Jiuzhai Valley in Sichuan, China. The results of Paired Sample t-tests indicated that the proposed algorithm performed significantly better than existing methods. Furthermore, our proposed approach had the ability to design more realistic and personalized routes for tourists than previous methods. We designed an experiment to further explore how uncertain environments affect tourists with different levels of risk awareness.
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using a four step heuristic algorithm to design personalized day tour route within a tourist attraction
Tourism Management, 2017Co-Authors: Weimin Zheng, Zhixue LiaoAbstract:The design of personalized day-tour routes for tourists plays a fundamental role in improving tourists’ travel experiences, and it is a crucial practice for managers of tourist attractions in an increasingly competitive marketplace. This study constructs a tourist recommendation system with consideration for aesthetic fatigue and variable sightseeing value. A four-step heuristic algorithm (involving a genetic algorithm and a difference evolution algorithm) is proposed, which serves as the nucleus for a new system to deal with the tourist trip design problem. To evaluate the performance of this algorithm, a case study was conducted at the Jiuzhai Valley in Sichuan, China. The results of Paired Sample t-tests indicated that the proposed heuristic algorithm indeed performed significantly better than existing methods. Furthermore, the study showed that our proposed system was able to design more realistic and better personalized routes for tourists than previous systems.
Zhixue Liao - One of the best experts on this subject based on the ideXlab platform.
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using a heuristic algorithm to design a personalized day tour route in a time dependent stochastic environment
Tourism Management, 2018Co-Authors: Zhixue Liao, Weimin ZhengAbstract:Abstract A substantial transformation has occurred in tourist behavior in the postmodern tourism era, where the tourism market is dominated by the demand for tailored experiences. Therefore, the design of personalized tourist routes plays a fundamental role in improving tourists’ travel experiences and the success of tourist attractions. This study proposes a hybrid heuristic algorithm based on random simulation (RS-H2A) to design a personalized day tour route in a time-dependent stochastic environment. To evaluate the performance of this algorithm, we conducted a case study at Jiuzhai Valley in Sichuan, China. The results of Paired Sample t-tests indicated that the proposed algorithm performed significantly better than existing methods. Furthermore, our proposed approach had the ability to design more realistic and personalized routes for tourists than previous methods. We designed an experiment to further explore how uncertain environments affect tourists with different levels of risk awareness.
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using a four step heuristic algorithm to design personalized day tour route within a tourist attraction
Tourism Management, 2017Co-Authors: Weimin Zheng, Zhixue LiaoAbstract:The design of personalized day-tour routes for tourists plays a fundamental role in improving tourists’ travel experiences, and it is a crucial practice for managers of tourist attractions in an increasingly competitive marketplace. This study constructs a tourist recommendation system with consideration for aesthetic fatigue and variable sightseeing value. A four-step heuristic algorithm (involving a genetic algorithm and a difference evolution algorithm) is proposed, which serves as the nucleus for a new system to deal with the tourist trip design problem. To evaluate the performance of this algorithm, a case study was conducted at the Jiuzhai Valley in Sichuan, China. The results of Paired Sample t-tests indicated that the proposed heuristic algorithm indeed performed significantly better than existing methods. Furthermore, the study showed that our proposed system was able to design more realistic and better personalized routes for tourists than previous systems.
Xiaohua Zhou - One of the best experts on this subject based on the ideXlab platform.
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testing equality between two diagnostic procedures in Paired Sample ordinal data
Biometrical Journal, 2004Co-Authors: Xiaohua ZhouAbstract:When a new diagnostic procedure is developed, it is important to assess whether the diagnostic accuracy of the new procedure is different from that of the standard procedure. For Paired-Sample ordinal data, this paper develops two test statistics for testing equality of the diagnostic accuracy between two procedures without assuming any parametric models. One is derived on the basis of the probability of correctly identifying the case for a randomly selected pair of a case and a non-case over all possible cutoff points, and the other is derived on the basis of the sensitivity and specificity directly. To illustrate the practical use of the proposed test procedures, this paper includes an example regarding the use of digitized and plain films for screening breast cancer. This paper also applies Monte Carlo simulation to evaluate the finite Sample performance of the two statistics developed here and notes that they can perform well in a variety of situations. (© 2004 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim)
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Testing Equality between Two Diagnostic Procedures in Paired‐Sample Ordinal Data
Biometrical Journal, 2004Co-Authors: Xiaohua ZhouAbstract:When a new diagnostic procedure is developed, it is important to assess whether the diagnostic accuracy of the new procedure is different from that of the standard procedure. For Paired-Sample ordinal data, this paper develops two test statistics for testing equality of the diagnostic accuracy between two procedures without assuming any parametric models. One is derived on the basis of the probability of correctly identifying the case for a randomly selected pair of a case and a non-case over all possible cutoff points, and the other is derived on the basis of the sensitivity and specificity directly. To illustrate the practical use of the proposed test procedures, this paper includes an example regarding the use of digitized and plain films for screening breast cancer. This paper also applies Monte Carlo simulation to evaluate the finite Sample performance of the two statistics developed here and notes that they can perform well in a variety of situations. (© 2004 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim)
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testing non inferiority and equivalence between two diagnostic procedures in Paired Sample ordinal data
Statistics in Medicine, 2004Co-Authors: Xiaohua ZhouAbstract:Before adopting a new diagnostic procedure, which is more convenient and less expensive than the standard existing procedure, it is essentially important to assess whether the diagnostic accuracy of the new procedure is non-inferior (or equivalent) to that of the standard procedure. In this paper, we consider the situation where test responses are on an ordinal scale with more than two categories. We give two definitions of non-inferiority, one in terms of the probability of correctly identifying the case for a randomly selected pair of a case and a non-case over all possible cut-off points, and the other in terms of both the sensitivity and specificity directly. On the basis of large Sample theory, we develop two simple test procedures for detecting non-inferiority. We further conduct Monte Carlo simulation to evaluate the finite Sample performance of these test procedures. We note that the two asymptotic test procedures proposed here can actually perform reasonably well in a variety of situations even when the numbers of studied subjects from the diseased and non-diseased populations are not large. To illustrate the use of the proposed test procedures, we include an example of determining whether the diagnostic accuracy of using a digitized film is non-inferior to that of using a plain film for screening breast cancer. Finally, we note that the extension of these results to accommodate the case of detecting (two-sided) equivalence is simply straightforward. Copyright © 2004 John Wiley & Sons, Ltd.
Daniel Gaigall - One of the best experts on this subject based on the ideXlab platform.
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Testing marginal homogeneity of a continuous bivariate distribution with possibly incomplete Paired data
Metrika, 2019Co-Authors: Daniel GaigallAbstract:We discuss the testing problem of homogeneity of the marginal distributions of a continuous bivariate distribution based on a Paired Sample with possibly missing components (missing completely at random). Applying the well-known two-Sample Crámer–von-Mises distance to the remaining data, we determine the limiting null distribution of our test statistic in this situation. It is seen that a new resampling approach is appropriate for the approximation of the unknown null distribution. We prove that the resulting test asymptotically reaches the significance level and is consistent. Properties of the test under local alternatives are pointed out as well. Simulations investigate the quality of the approximation and the power of the new approach in the finite Sample case. As an illustration we apply the test to real data sets.
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on hotelling s t2 test in a special Paired Sample case
Communications in Statistics-theory and Methods, 2019Co-Authors: Ludwig Baringhaus, Daniel GaigallAbstract:In a special Paired Sample case, Hotelling’s T2 test based on the differences of the Paired random vectors is the likelihood ratio test for testing the hypothesis that the Paired random vectors hav...
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On Hotelling’s T2 test in a special Paired Sample case
Communications in Statistics-theory and Methods, 2017Co-Authors: Ludwig Baringhaus, Daniel GaigallAbstract:In a special Paired Sample case, Hotelling’s T2 test based on the differences of the Paired random vectors is the likelihood ratio test for testing the hypothesis that the Paired random vectors hav...
Maria E Arcila - One of the best experts on this subject based on the ideXlab platform.
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detection of mutations in myeloid malignancies through Paired Sample analysis of microdroplet pcr deep sequencing data
The Journal of Molecular Diagnostics, 2014Co-Authors: Donavan T Cheng, Janice Cheng, Talia Mitchell, Aijazuddin Syed, Ahmet Zehir, Nana Mensah, Alifya Oultache, Khedoudja Nafa, Ross L Levine, Maria E ArcilaAbstract:Amplicon-based methods for targeted resequencing of cancer genes have gained traction in the clinic as a strategy for molecular diagnostic testing. An 847-amplicon panel was designed with the RainDance DeepSeq system, covering most exons of 28 genes relevant to acute myeloid leukemia and myeloproliferative neoplasms. We developed a Paired-Sample analysis pipeline for variant calling and sought to assess its sensitivity and specificity relative to a set of Samples with previously identified mutations. Thirty Samples with known mutations in JAK2, NPM1, DNMT3A, MPL, IDH1, IDH2, CEBPA, and FLT3, were profiled and sequenced to high depth. Variant calling using an unmatched Hapmap DNA control removed a substantial number of artifactual calls regardless of algorithm used or variant class. The removed calls were nonunique, had lower variant frequencies, and tended to recur in multiple unrelated Samples. Analysis of Sample replicates revealed that reproducible calls had distinctly higher variant allele depths and frequencies compared to nonreproducible calls. On the basis of these differences, filters on variant frequency were chosen to select for reproducible calls. The analysis pipeline successfully retrieved the associated known variant in all tested Samples and uncovered additional mutations in some Samples corresponding to well-characterized hotspot mutations in acute myeloid leukemia. We have developed a Paired-Sample analysis pipeline capable of robust identification of mutations from microdroplet-PCR sequencing data with high sensitivity and specificity.
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detection of mutations in myeloid malignancies through Paired Sample analysis of microdropletepolymerase chain reaction deep sequencing data
2014Co-Authors: Donavan T Cheng, Janice Cheng, Talia Mitchell, Aijazuddin Syed, Ahmet Zehir, Alifya Oultache, Khedoudja Nafa, Ross L Levine, T Mensah, Maria E ArcilaAbstract:Amplicon-based methods for targeted resequencing of cancer genes have gained traction in the clinic as a strategy for molecular diagnostic testing. An 847-amplicon panel was designed with the RainDance DeepSeq system, covering most exons of 28 genes relevant to acute myeloid leukemia and myeloproliferative neoplasms. We developed a Paired-Sample analysis pipeline for variant calling and sought to assess its sensitivity and specificity relative to a set of Samples with previously identified mutations. Thirty Samples with known mutations in JAK2, NPM1, DNMT3A, MPL, IDH1, IDH2, CEBPA, and FLT3, were profiled and sequenced to high depth. Variant calling using an unmatched Hapmap DNA control removed a substantial number of artifactual calls regardless of algorithm used or variant class. The removed calls were nonunique, had lower variant frequencies, and tended to recur in multiple unrelated Samples. Analysis of Sample replicates revealed that reproducible calls had distinctly higher variant allele depths and frequencies compared to nonreproducible calls. On the basis of these differences, filters on variant frequency were chosen to select for reproducible calls. The analysis pipeline successfully retrieved the associated known variant in all tested Samples and uncovered additional mutations in some Samples corresponding to well-characterized hotspot mutations in acute myeloid leukemia. We have developed a Paired-Sample analysis pipeline capable of robust identification of mutations from microdroplet-PCR sequencing data with high sensitivity and specificity. (J Mol Diagn
