Relevant bibliographies by topics / Kurtosis method

Academic literature on the topic 'Kurtosis method'

Author: Grafiati
Published: 30 May 2022
Last updated: 31 May 2022

Create a spot-on reference in APA, MLA, Chicago, Harvard, and other styles

Select a source type:

Contents

Consult the lists of relevant articles, books, theses, conference reports, and other scholarly sources on the topic 'Kurtosis method.'

Next to every source in the list of references, there is an 'Add to bibliography' button. Press on it, and we will generate automatically the bibliographic reference to the chosen work in the citation style you need: APA, MLA, Harvard, Chicago, Vancouver, etc.

You can also download the full text of the academic publication as pdf and read online its abstract whenever available in the metadata.

Journal articles on the topic "Kurtosis method"

1

Peng, Yiming, and Yang Li. "Study of the Windowing and Overlap-Add Operation for a Super-Gaussian Random Vibration Test." Shock and Vibration 2021 (May 28, 2021): 1–18. http://dx.doi.org/10.1155/2021/6644957.

Full text
Abstract:
Random vibration environmental testing employs the specified statistical properties of the real world vibration to reproduce the desired excitations on the shaker table for fatigue test purposes. Smooth and safe operation is the essential requirement for a long-duration test. Traditionally, the windowing and overlap-add (WOA) method is applied to the acceleration signals of the shaker table, and previous studies have indicated that this operation reduces the kurtoses of the processed signals. To protect the test equipment from abrupt changes in the input voltage, the WOA method is proposed to operate on the input voltage signals in a frame-by-frame form for super-Gaussian environmental testing. To figure out the impacts of the proposed operation on the response kurtoses of a shaker table, we express the system transfer function in the time domain, and the WOA method is analysed considering the transfer function of a dynamic system. Based on the analysis, a further study is made to explain the mechanism of the kurtosis decrease due to the WOA method. Through the study, we find that the kurtosis reduction conclusion is not applicable to all types of super-Gaussian signals, and the kurtoses can be invariable and even increased by allocating the positions of the high-excursion peaks of super-Gaussian signals when the WOA method is applied. A window function is recommended for zero-memory nonlinear (ZMNL) transformation to move the positions of the high-excursion peaks of a super-Gaussian signal, providing a novel way of adjusting kurtosis when WOA method is applied. The proposed WOA method and window function are first verified in a single-input-single-output (SISO) numerical simulation to test their effectiveness under different reference kurtoses. Then, they are evaluated in a two-input-two-output shaker table test. The test results demonstrate that the proposed window function can prevent the kurtosis decrease with the application of the WOA method.
APA, Harvard, Vancouver, ISO, and other styles
2

Yang, Yanli, and Ting Yu. "An Adaptive Spectral Kurtosis Method Based on Optimal Filter." Shock and Vibration 2017 (2017): 1–10. http://dx.doi.org/10.1155/2017/6987250.

Full text
Abstract:
As a useful tool to detect protrusion buried in signals, kurtosis has a wide application in engineering, for example, in bearing fault diagnosis. Spectral kurtosis (SK) can further indicate the presence of a series of transients and their locations in the frequency domain. The factors influencing kurtosis values are first analyzed, leading to the conclusion that amplitude, not the frequency of signals, and noise make major contribution to kurtosis values. It is helpful to detect impulsive components if the components with big amplitude are removed from composite signals. Based on this cognition, an adaptive SK algorithm is proposed in this paper. The core steps of the proposed SK algorithm are to find maxima, add window around maxima, merge windows in the frequency domain, and then filter signals according to the merged window in the time domain. The parameters of the proposed SK algorithm are varying adaptively with signals. Some experimental results are presented to demonstrate the effectiveness of the proposed algorithm.
APA, Harvard, Vancouver, ISO, and other styles
3

Headrick, Todd C., and Mohan D. Pant. "A Doubling Method for the Generalized Lambda Distribution." ISRN Applied Mathematics 2012 (May 7, 2012): 1–19. http://dx.doi.org/10.5402/2012/725754.

Full text
Abstract:
This paper introduces a new family of generalized lambda distributions (GLDs) based on a method of doubling symmetric GLDs. The focus of the development is in the context of L-moments and L-correlation theory. As such, included is the development of a procedure for specifying double GLDs with controlled degrees of L-skew, L-kurtosis, and L-correlations. The procedure can be applied in a variety of settings such as modeling events and Monte Carlo or simulation studies. Further, it is demonstrated that estimates of L-skew, L-kurtosis, and L-correlation are substantially superior to conventional product-moment estimates of skew, kurtosis, and Pearson correlation in terms of both relative bias and efficiency when heavy tailed distributions are of concern.
APA, Harvard, Vancouver, ISO, and other styles
4

R, Lakshmi, and T. A. Sajesh. "Robust Quadratic Discriminant Analysis using Kurtosis Method." Journal of Computer and Mathematical Sciences 9, no. 12 (December 4, 2018): 1907–14. http://dx.doi.org/10.29055/jcms/937.

Full text
APA, Harvard, Vancouver, ISO, and other styles
5

Song, Jinlong, Zhiyong Shi, Lvhua Wang, and Hailiang Wang. "Random Error Analysis of MEMS Gyroscope Based on an Improved DAVAR Algorithm." Micromachines 9, no. 8 (July 27, 2018): 373. http://dx.doi.org/10.3390/mi9080373.

Full text
Abstract:
In view that traditional dynamic Allan variance (DAVAR) method is difficult to make a good balance between dynamic tracking capabilities and the confidence of the estimation. And the reason is the use of a rectangular window with the fixed window length to intercept the original signal. So an improved dynamic Allan variance method was proposed. Compared with the traditional Allan variance method, this method can adjust the window length of the rectangular window adaptively. The data in the beginning and terminal interval was extended with the inverted mirror extension method to improve the utilization rate of the interval data. And the sliding kurtosis contribution coefficient and kurtosis were introduced to adjust the length of the rectangular window by sensing the content of shock signal in terminal interval. The method analyzed the window length change factor in different stable conditions and adjusted the rectangular window’s window length according to the kurtosis, sliding kurtosis contribution coefficient. The test results show that the more the kurtosis stability threshold was close to 3, the stronger the dynamic tracking ability of DAVAR would be. But the kurtosis stability threshold was too close to 3, there was a misjudgement in kurtosis analysis of signal stability, resulting in distortion of DAVAR analysis results. When using the improved DAVAR method, the kurtosis stability threshold can be close to 3 to improve the tracking ability and the estimation confidence in stable interval. Therefore, it solved the problem that the dynamic Allan variance tracking ability and confidence level were difficult to take into account, and also solved the problem of misjudgement in the stability analysis of kurtosis.
APA, Harvard, Vancouver, ISO, and other styles
6

Li, Weihan, Yang Li, Ling Yu, Jian Ma, Lei Zhu, Lingfeng Li, Huayue Chen, and Wu Deng. "A Novel Fault Feature Extraction Method for Bearing Rolling Elements Using Optimized Signal Processing Method." Applied Sciences 11, no. 19 (September 29, 2021): 9095. http://dx.doi.org/10.3390/app11199095.

Full text
Abstract:
A rolling element signal has a long transmission path in the acquisition process. The fault feature of the rolling element signal is more difficult to be extracted. Therefore, a novel weak fault feature extraction method using optimized variational mode decomposition with kurtosis mean (KMVMD) and maximum correlated kurtosis deconvolution based on power spectrum entropy and grid search (PGMCKD), namely KMVMD-PGMCKD, is proposed. In the proposed KMVMD-PGMCKD method, a VMD with kurtosis mean (KMVMD) is proposed. Then an adaptive parameter selection method based on power spectrum entropy and grid search for MCKD, namely PGMCKD, is proposed to determine the deconvolution period T and filter order L. The complementary advantages of the KMVMD and PGMCKD are integrated to construct a novel weak fault feature extraction model (KMVMD-PGMCKD). Finally, the power spectrum is employed to deal with the obtained signal by KMVMD-PGMCKD to effectively implement feature extraction. Bearing rolling element signals of Case Western Reserve University and actual rolling element data are selected to prove the validity of the KMVMD-PGMCKD. The experiment results show that the KMVMD-PGMCKD can effectively extract the fault features of bearing rolling elements and accurately diagnose weak faults under variable working conditions.
APA, Harvard, Vancouver, ISO, and other styles
7

Xu, Yonggang, Zeyu Fan, Kun Zhang, and Chaoyong Ma. "A Novel Method for Extracting Maximum Kurtosis Component and Its Applications in Rolling Bearing Fault Diagnosis." Shock and Vibration 2019 (August 25, 2019): 1–17. http://dx.doi.org/10.1155/2019/8218237.

Full text
Abstract:
Rolling bearing plays an important role in the overall operation of the mechanical system; therefore, it is necessary to monitor and diagnose the bearings. Kurtosis is an important index to measure impulses. Fast Kurtogram method can be applied to the fault diagnosis of rolling bearings by extracting maximum kurtosis component. However, the final result may disperse the effective fault information to different frequency bands or find wrong frequency band, resulting in inaccurate frequency band selection or misdiagnosis. In order to find the maximum component of kurtosis accurately, an algorithm of frequency band multidivisional and overlapped based on EWT (MDO-EWT) is proposed in this paper. This algorithm changes the traditional Fast Kurtogram frequency bands division method and filtering method. It builds the EWT boundaries based on the maximum kurtosis component in each iteration and finally obtains the maximum kurtosis component. Through the simulation signal and the rolling bearing inner and outer ring fault signals verification, it is proved that the proposed method has a good performance on accuracy and effectiveness.
APA, Harvard, Vancouver, ISO, and other styles
8

Yang, Rui, Hongkun Li, Chaoge Wang, and Changbo He. "Rolling element bearing weak feature extraction based on improved optimal frequency band determination." Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science 233, no. 2 (March 22, 2018): 623–34. http://dx.doi.org/10.1177/0954406218761487.

Full text
Abstract:
Conventional Kurtosis method represents the statistical property of signal in the time domain. Correlated Kurtosis is proposed that combines the correlation coefficient and Kurtosis in order to indicate the periodicity and impact of signal. In this study, correlated Kurtosis is introduced into frequency domain to improve the recognition accuracy of the optimal frequency band. It does not perform well under the lower signal-to-noise ratio. And then, maximum correlation Kurtosis de-convolution method is used for extracting the approximate impact signal before selecting the optimal frequency band. However, it is limited in diagnosing rolling element bearing fault in the case of the algorithm iteration period is unknown. In addition, filter length also affects the filtering results. To eliminate the confusion, correlated Kurtosis of the frequency domain is applied to iteration period calculation. In this research, a new index is also proposed based on entropy and correlated Kurtosis to optimize the filter length. Then, the full bandwidth of filtered signal is partitioned into several sub-bands according to the refined wavelet packet binary tree. The correlated Kurtosis for each sub-band is calculated. The optimal sub-band for which the correlated Kurtosis is maximal is extracted to analysis. In the end, the efficiency of the new index and the fault diagnosis method are verified by using simulation data and experimental data.
APA, Harvard, Vancouver, ISO, and other styles
9

Jin, Yan, Zezong Chen, Lingang Fan, and Chen Zhao. "Spectral Kurtosis–Based Method for Weak Target Detection in Sea Clutter by Microwave Coherent Radar." Journal of Atmospheric and Oceanic Technology 32, no. 2 (February 2015): 310–17. http://dx.doi.org/10.1175/jtech-d-13-00108.1.

Full text
Abstract:
AbstractA new method is proposed to detect small targets embedded in sea clutter for land-based microwave coherent radar using spectral kurtosis as a signature from radar data. It is executed according to the following procedures. First, the echoes of radar from each range gate are processed by the technique of short-time Fourier transform. Then, the kurtosis of each Doppler channel is estimated from the time–Doppler spectra. Last, the spectral kurtosis is compared to a threshold to determine whether a target exists. The proposed method is applied to measured datasets of different sea conditions from slight to moderate. The signal from a small boat is detected successfully. Furthermore, the detection performance of the proposed method is analyzed by the way of Monte Carlo simulation. It demonstrates that the spectral kurtosis–based detector works well for weak target detection when the target’s Doppler frequency is beyond the strong clutter region.
APA, Harvard, Vancouver, ISO, and other styles
10

Honarvar, F., and H. R. Martin. "New Statistical Moments for Diagnostics of Rolling Element Bearings." Journal of Manufacturing Science and Engineering 119, no. 3 (August 1, 1997): 425–32. http://dx.doi.org/10.1115/1.2831123.

Full text
Abstract:
Statistical moment analysis has proven to be a very effective technique for diagnosis of rolling element bearings. The fourth normalized central statistical moment, kurtosis, has been the major parameter in this method. In this paper it will be shown that the third normalized statistical moment can be as effective as kurtosis if the data is initially rectified. The advantage of this moment over the traditional kurtosis value is its lesser susceptibility to spurious vibrations, which is considered to be one of the shortcomings of higher statistical moments including kurtosis. The sensitivity of this moment to changes of load and speed is also less than kurtosis. The proposed method can also be applied to higher odd statistical moments.
APA, Harvard, Vancouver, ISO, and other styles
More sources

Dissertations / Theses on the topic "Kurtosis method"

1

Zakharov, I. P., O. A. Botsiura, I. Tsybina, and O. Zakharov. "Measurement uncertainty evaluation by kurtosis method at micrometer calibration." Thesis, "Софттрейд", 2020. https://openarchive.nure.ua/handle/document/18983.

Full text
Abstract:
The procedure for measurement uncertainty evaluation at micrometer calibration by the kurtosis method is considered. The measurement model as the deviation of the micrometer readings from the length of the reference gage block is recorded. The measurement model takes into account the corrections for the micrometer resolution to be calibrated, lack of flatness and departure from parallelism of its measuring faces, as well as for the temperature difference between the gage block and the calibrated micrometer. The input values and their standard uncertainties are estimated. The calculation of the combined standard uncertainty and expanded uncertainty is carried out taking into account the kurtosis of the input quantities. The report presents an uncertainty budget, which can serve as a basis for creating a software tool that facilitates calculations. The proposed procedure was validated by the Monte Carlo method, which showed that it is are adequate for an intended use.
APA, Harvard, Vancouver, ISO, and other styles
2

Zakharov, I. P. "Coomet recommendation «Expression of the expanded measurement uncertainty (method of kurtosis)»." Thesis, ХНУРЭ, 2021. https://openarchive.nure.ua/handle/document/18961.

Full text
Abstract:
The draft COOMET Recommendations “Expression of expanded measurement uncertainty (method of kurtosis)” was approved at the meeting of the COOMET President's Council on 25.11.2021. The official approval and assignment of the number of the Recommendation will be carried out at the 33rd meeting of the COOMET Committee (June 2022).
APA, Harvard, Vancouver, ISO, and other styles
3

Mansour, Ali. "Contribution à la séparation aveugle de sources." Grenoble INPG, 1997. http://www.theses.fr/1997INPG0012.

Full text
Abstract:
Le probleme de separation de sources est un probleme relativement recent en traitement du signal, qui consiste a separer des sources, statistiquement independantes, observees par un reseau de capteurs. Dans cette these, plusieurs approches ont ete etudiees : deux approches directes, valables uniquement pour le melange lineaire instantane, ont ete proposees. La premiere, analytique, est basee sur les statistiques de signaux observes, l'autre geometrique, est basee sur les distributions de ces signaux, dont la densite de probabilite est supposee a support borne. Pour les signaux de meme signe de kurtosis, on a propose un algorithme adaptatif base uniquement sur les cumulants croises (2x2). Ce critere est valable pour les melanges instantanes, aussi bien pour les melanges convolutifs. L'hypothese concernant le signe de kurtosis est assez frequent dans la litterature sur la separation de sources. Des etudes sur cette hypothese, et sur sa relation avec la nature de sources, sont presentees dans cette these. Finalement, en s'inspirant des methodes d'identification aveugles et a l'aide de deux parametrisations differentes de la matrice de sylvester, on montre la possibilite de separer un melange convolutif ou le transformer en un melange instantane, en utilisant les statistiques de second ordre. Dans ce cadre, trois algorithmes de sous-espaces sont proposes.
APA, Harvard, Vancouver, ISO, and other styles
4

Neto, Henriques Rafael. "Advanced methods for diffusion MRI data analysis and their application to the healthy ageing brain." Thesis, University of Cambridge, 2018. https://www.repository.cam.ac.uk/handle/1810/281993.

Full text
Abstract:
Diffusion of water molecules in biological tissues depends on several microstructural properties. Therefore, diffusion Magnetic Resonance Imaging (dMRI) is a useful tool to infer and study microstructural brain changes in the context of human development, ageing and neuropathology. In this thesis, the state-of-the-art of advanced dMRI techniques is explored and strategies to overcome or reduce its pitfalls are developed and validated. Firstly, it is shown that PCA denoising and Gibbs artefact suppression algorithms provide an optimal compromise between increased precision of diffusion measures and the loss of tissue's diffusion non-Gaussian information. Secondly, the spatial information provided by the diffusion kurtosis imaging (DKI) technique is explored and used to resolve crossing fibres and generalize diffusion measures to cases not limited to well-aligned white matter fibres. Thirdly, as an alternative to diffusion microstructural modelling techniques such as the neurite orientation dispersion and density imaging (NODDI), it is shown that spherical deconvolution techniques can be used to characterize fibre crossing and dispersion simultaneously. Fourthly, free water volume fraction estimates provided by the free water diffusion tensor imaging (fwDTI) are shown to be useful to detect and remove voxels corrupted by cerebrospinal fluid (CSF) partial volume effects. Finally, dMRI techniques are applied to the diffusion data from the large collaborative Cambridge Centre for Ageing and Neuroscience (CamCAN) study. From these data, the inference provided by diffusion anisotropy measures on maturation and degeneration processes is shown to be biased by age-related changes of fibre organization. Inconsistencies of previous NODDI ageing studies are also revealed to be associated with the different age ranges covered. The CamCAN data is also processed using a novel non-Gaussian diffusion characterization technique which is invariant to different fibre configurations. Results show that this technique can provide indices specific to axonal water fraction which can be linked to age-related fibre density changes.
APA, Harvard, Vancouver, ISO, and other styles
5

Kokeš, Miroslav. "Porovnání metod pro identifikaci poruch valivých ložisek." Master's thesis, Vysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií, 2021. http://www.nusl.cz/ntk/nusl-442447.

Full text
Abstract:
The aim of this master thesis is the comparison of selected methods and parameters for roller bearings diagnostics. Selected statistical parameters are kurtosis, crest factor, and parameter K(t). The other selected methods are envelope analysis, cepstral analysis, and ACEP method. These methods are implemented in LabVIEW software and compared based on noise resistance, computation speed, and overall capability of identifying roller bearing faults.
APA, Harvard, Vancouver, ISO, and other styles
6

Lee, How-Ping, and 李灝平. "Blind Identification of MIMO Systems Using Fast Kurtosis Maximization Algorithm and a Second-Order Statistics Based Subspace Method." Thesis, 2003. http://ndltd.ncl.edu.tw/handle/35017127022244387682.

Full text
Abstract:
碩士
國立清華大學
通訊工程研究所
91
Blind identification (BID) of multiple input multiple output systems is purposed to estimate an unknow system by using only the measurements. In general, the approaches of BID can be partitioned into two categories─ second-order statistics based algorithms, and higher-order statistics based algorithms. The advantages of second-order statistics based algorithms are shorter data lenght requirement, existence of closed form solution while the disadvantages are sensitivity to noise, requirement of prior imformation about channel lengths, more restrictions on systems. The advantages of higher-order statistics based algorithms are insensitivity to noise, less restrictions on systems, while the disadvantages are longer data length requirement, high computational load. Gorokhov and Loubaton have proposed a second-order statistics based subspace method for blind identification of an unknown K-input P-output (P either larger than or equal to K and K larger than 1) FIR system with the K input signals being mutually independent and temporally independent identically distributed (i.i.d.). However, only a partial system estimate can be obtained using their method. That is, the system estimate will be the unknown system multiplied an unknown ambiguity matrix R(z). In the case of equal channels, R(z) will be a constant nonsingular matrix and in the case of different channel lengths, R(z) will be a nonsingular upper triangular matrix. This thesis is concerned with resolving the ambiguity matrix R(z) embedded in the system estimate obtained by Gorokhov and Louba-ton’s subspace method. An approach is proposed in this thesis by utilizing Chi and Chen’s fast kurtosis maximization algorithm to estimate the inverse of the ambiguity matrix; meanwhile, the unknown system can thus be perfectly identified.
APA, Harvard, Vancouver, ISO, and other styles
7

Hsu, Wen-Long, and 徐文隆. "Improvement of Skewness and Kurtosis Correction Method for Control Charts and a Study of Process Capability Measures with Multiple Characteristics." Thesis, 2010. http://ndltd.ncl.edu.tw/handle/69930592549979779748.

Full text
Abstract:
碩士
國立高雄大學
統計學研究所
98
In this paper, the control charts and process capability indices will be investigated. In Chapter 1, we improve the skewness and kurtosis correction (SKC) method proposed by Wang (2009). The modi¯ed skewness and kurtosis correction (MSKC) control charts are constructed by adjusting the functions of skewness and kurtosis of SKC control limits. Simulation results show that the performance of the proposed MSKC method is better than those of SKC method and some other methods. In Chapter 2, we propose the process capability indices to evaluate the processes with multi-subprocesses and multi-characteristics in each subprocess. These process capability indices, extending those discussed in Chen et al. (2003) and Chen et al. (2006), can be used in more practical situations.
APA, Harvard, Vancouver, ISO, and other styles
8

Serrasqueiro, Pedro Nogueira. "Essays on the estimation of distribution moments." Doctoral thesis, 2021. http://hdl.handle.net/10071/25103.

Full text
Abstract:
The set of four articles herein compiled focuses on specific aspects of the first four moments of probability distributions: mean, variance, skewness and kurtosis. The structure of the first three articles is similar, where hypotheses are formulated and/or theoretical properties are studied and later tested with simulation and applied to real life cases. The fourth article is of empirical nature, contextualized by the current SARS-CoV-2 pandemic. The first article (Chapter 2) analyzes the relationship between the geometric and harmonic means with respect to the aggregation of financial ratios. In the second article (Chapter 3), regarding the estimation of linear regression models, a new measure is proposed to rank independent variables according to their relative importance to explain the variability around the mean of the dependent variable. The third article (Chapter 4) approaches known diculties with the estimation of skewness and kurtosis. Applying the Generalized Method of Moments, confidence intervals and hypothesis tests are derived, taking into account the heteroskedasticity and autocorrelation typically present in financial time series. In the last article (Chapter 5), models of the GARCH family are estimated with the introduction of dummy variables to investigate and quantify the impact of SARS-CoV-2 in the volatility (standard deviation) of returns of a set of US-listed stocks and indices
No conjunto de quatro artigos aqui compilados, estudam-se aspectos particulares dos primeiros quatro momentos das distribuições de probabilidade: média, variância, assimetria e curtose. A estrutura dos primeiros três artigos é semelhante, na medida em que se estabelecem hipóteses e/ou se estudam propriedades teóricas, posteriormente testadas em contexto de simulação e ilustradas por aplicações a situações reais; o quarto artigo surge no contexto da actual pandemia SARS-CoV-2 e é de natureza empírica. O primeiro artigo (Capítulo 2) analisa a relação entre as médias geométrica e harmónica no âmbito da agregação de rácios de natureza financeira. No segundo artigo (Capítulo 3), a respeito da estimação de modelos de regressão linear, propõe-se uma medida de ordenação de regressores em termos da sua importância relativa para a explicação da variância em torno da média da variável dependente. O terceiro artigo (Capítulo 4) aborda as dificuldades conhecidas na estimação dos coeficientes de assimetria e curtose. Recorrendo ao Método dos Momentos Generalizado, propõem-se intervalos de confiança e testes de hipóteses robustos para os coeficientes, atendendo à heteroscedasticidade e à autocorrelação tipicamente presentes nas séries financeiras temporais. No último artigo (Capítulo 5) procurou-se, com recurso à classe de modelos GARCH e à introdução de variáveis dummy, investigar e quantificar o impacte da recente pandemia por SARS-CoV-2 na volatilidade (desviopadrão) dos retornos de um conjunto de ações cotadas e índices bolsistas dos mercados de capitais norte-americanos.
APA, Harvard, Vancouver, ISO, and other styles

Book chapters on the topic "Kurtosis method"

1

Terdik, György. "Multivariate Skewness and Kurtosis." In Multivariate Statistical Methods, 313–49. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-81392-5_6.

Full text
APA, Harvard, Vancouver, ISO, and other styles
2

Blaskowitz, Oliver J., Wolfgang K. Härdle, and Peter Schmidt. "Skewness and Kurtosis Trades." In Handbook of Computational and Numerical Methods in Finance, 1–14. Boston, MA: Birkhäuser Boston, 2004. http://dx.doi.org/10.1007/978-0-8176-8180-7_1.

Full text
APA, Harvard, Vancouver, ISO, and other styles
3

Loperfido, Nicola. "Representing Koziol’s Kurtoses." In Mathematical and Statistical Methods for Actuarial Sciences and Finance, 323–28. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-78965-7_47.

Full text
APA, Harvard, Vancouver, ISO, and other styles
4

Loperfido, Nicola. "A Probability Inequality Related to Mardia’s Kurtosis." In Mathematical and Statistical Methods for Actuarial Sciences and Finance, 129–32. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-05014-0_30.

Full text
APA, Harvard, Vancouver, ISO, and other styles
5

Loperfido, Nicola. "Kurtosis Maximization for Outlier Detection in GARCH Models." In Mathematical and Statistical Methods for Actuarial Sciences and Finance, 455–59. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-89824-7_81.

Full text
APA, Harvard, Vancouver, ISO, and other styles
6

Franceschini, Cinzia, and Nicola Loperfido. "The Mardia’s Kurtosis of a Multivariate GARCH Model." In Mathematical and Statistical Methods for Actuarial Sciences and Finance, 260–65. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-99638-3_42.

Full text
APA, Harvard, Vancouver, ISO, and other styles
7

Franceschini, Cinzia, and Nicola Loperfido. "Some inequalities between measures of multivariate kurtosis, with application to financial returns." In Mathematical and Statistical Methods for Actuarial Sciences and Finance, 211–18. Milano: Springer Milan, 2012. http://dx.doi.org/10.1007/978-88-470-2342-0_25.

Full text
APA, Harvard, Vancouver, ISO, and other styles
8

Yamada, Kozo, Hirohito Sakurai, Hideyuki Imai, and Yoshiharu Sato. "Effects of Kurtosis for the Error Rate Estimators Using Resampling Methods in Two Class Discrimination." In Knowledge-Based and Intelligent Information and Engineering Systems, 340–47. Berlin, Heidelberg: Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-04592-9_43.

Full text
APA, Harvard, Vancouver, ISO, and other styles
9

Ahmed, Basma, Mohamed Abdel-Nasser, Osama A. Omer, Amal Rashed, and Domenec Puig. "No-Reference Digital Image Quality Assessment Based on Structure Similarity." In Frontiers in Artificial Intelligence and Applications. IOS Press, 2021. http://dx.doi.org/10.3233/faia210156.

Full text
Abstract:
Blind or non-referential image quality assessment (NR-IQA) indicates the problem of evaluating the visual quality of an image without any reference, Therefore, the need to develop a new measure that does not depend on the reference pristine image. This paper presents a NR-IQA method based on restoration scheme and a structural similarity index measure (SSIM). Specifically, we use blind restoration schemes for blurred images by reblurring the blurred image and then we use it as a reference image. Finally, we use the SSIM as a full reference metric. The experiments performed on standard test images as well as medical images. The results demonstrated that our results using a structural similarity index measure are better than other methods such as spectral kurtosis-based method.
APA, Harvard, Vancouver, ISO, and other styles
10

E., Jayanthi V., Jagannath Mohan, and Adalarasu K. "Automatic Detection of Tumor and Bleed in Magnetic Resonance Brain Images." In Handbook of Research on Information Security in Biomedical Signal Processing, 291–303. IGI Global, 2018. http://dx.doi.org/10.4018/978-1-5225-5152-2.ch015.

Full text
Abstract:
Brain tumor and intracerebral hemorrhage are major causes for death among the people. Brain tumor is the growth of abnormal cells multiplied in an uncontrolled manner in brain. Magnetic resonance imaging (MRI) technique plays a major role for analysis, diagnosis, and treatment planning of abnormalities in the brain. Bleed is detected manually by radiologists, but it is laborious, time-consuming, and error prone. The automatic detection method was performed to detect the tumor as well as bleed in brain under a single system. The proposed method includes image acquisition, pre-processing, patch extraction, feature extraction, convolutional neural network (CNN) classification, and fuzzy inference system (FIS) to detect the abnormality with reduced classification loss percentage. This chapter is compared with the existing system of tumor detection using convolution neural network based on certain features such as skewness, kurtosis, homogeneity, smoothness, and correlation.
APA, Harvard, Vancouver, ISO, and other styles

Conference papers on the topic "Kurtosis method"

1

Castella, Marc, and Eric Moreau. "A new method for kurtosis maximization and source separation." In 2010 IEEE International Conference on Acoustics, Speech and Signal Processing. IEEE, 2010. http://dx.doi.org/10.1109/icassp.2010.5496250.

Full text
APA, Harvard, Vancouver, ISO, and other styles
2

Tirupathamma, M., and Vandana Niranjan. "Thermal image enhancement using kurtosis based clipping histogram method." In 2021 International Conference on Recent Trends on Electronics, Information, Communication & Technology (RTEICT). IEEE, 2021. http://dx.doi.org/10.1109/rteict52294.2021.9573576.

Full text
APA, Harvard, Vancouver, ISO, and other styles
3

Oliveira, Alfredo, Jonathan Araujo Queiroz, Fausto Lucena, and Allan Kardec Barros. "Method to characterize and classify atrial fibrillation based on kurtosis." In 2016 IEEE International Conference on Industrial Technology (ICIT). IEEE, 2016. http://dx.doi.org/10.1109/icit.2016.7474895.

Full text
APA, Harvard, Vancouver, ISO, and other styles
4

Zhang Xu-Xiu and Qiu Tian-Shuang. "The study on the principle of Kurtosis based ICA method." In Proceedings of 2003 International Conference on Neural Networks and Signal Processing. IEEE, 2003. http://dx.doi.org/10.1109/icnnsp.2003.1281121.

Full text
APA, Harvard, Vancouver, ISO, and other styles
5

Dion, J. L., G. Chevallier, N. Peyret, F. Renaud, and H. Festjens. "Optimization of the Spectral Kurtosis for Harmonic Component Detection." In ASME 2011 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. ASMEDC, 2011. http://dx.doi.org/10.1115/detc2011-47534.

Full text
Abstract:
This work is a contribution in the field of Operational Modal Analysis to identify the modal parameters of mechanical structures using only measured responses. The study deals with structural responses coupled with harmonic components amplitude and frequency modulated in a short range, a common combination for mechanical systems with engines and other rotating machines in operation. These harmonic components generate misleading data interpreted erroneously by the classical methods used in OMA. The present work attempts to differentiate maxima in spectra stemming from harmonic components and structural modes. The detection method proposed is based on the so-called Optimized Spectral Kurtosis and compared with others definitions of Spectral Kurtosis described in the literature. After a parametric optimization of the method, a critical study is performed on numerical simulations and then on an experimental structure in operation in order to assess the method’s performance.
APA, Harvard, Vancouver, ISO, and other styles
6

Sun, Xiaoyun, Zhiyuan Wang, Haiqing Zheng, and Jianpeng Bian. "Non-destructive test method of rock bolt based on improved spectral kurtosis." In 2015 7th International Conference on Modelling, Identification and Control (ICMIC). IEEE, 2015. http://dx.doi.org/10.1109/icmic.2015.7409355.

Full text
APA, Harvard, Vancouver, ISO, and other styles
7

Cai, Ruichu, Feng Xie, Wei Chen, and Zhifeng Hao. "An efficient kurtosis-based causal discovery method for linear non-Gaussian acyclic data." In 2017 IEEE/ACM 25th International Symposium on Quality of Service (IWQoS). IEEE, 2017. http://dx.doi.org/10.1109/iwqos.2017.7969175.

Full text
APA, Harvard, Vancouver, ISO, and other styles
8

Xiao-wen, Deng, Yang Ping, Ren Jin-sheng, and Yang Yi-wei. "Rolling bearings time and frequency domain fault diagnosis method based on Kurtosis analysis." In 2014 IEEE PES Asia-Pacific Power and Energy Engineering Conference (APPEEC). IEEE, 2014. http://dx.doi.org/10.1109/appeec.2014.7066018.

Full text
APA, Harvard, Vancouver, ISO, and other styles
9

Zakharov, Igor, Maryna Serhiienko, and Tetiana Chunikhina. "Measurement uncertainty evaluation by kurtosis method at calibration of a household water meter." In 2020 XXX International Scientific Symposium 'Metrology and Metrology Assurance (MMA). IEEE, 2020. http://dx.doi.org/10.1109/mma49863.2020.9254260.

Full text
APA, Harvard, Vancouver, ISO, and other styles
10

Gao, Qiang, and Jiawei Xiang. "A Method Using EEMD and L-Kurtosis to Detect Faults in Roller Bearings." In 2018 Prognostics and System Health Management Conference (PHM-Chongqing). IEEE, 2018. http://dx.doi.org/10.1109/phm-chongqing.2018.00018.

Full text
APA, Harvard, Vancouver, ISO, and other styles
You might also be interested in the extended bibliographies on the topic 'Kurtosis method' for particular source types:
Journal articles
We offer discounts on all premium plans for authors whose works are included in thematic literature selections. Contact us to get a unique promo code!

To the bibliography