Journal articles: 'Alpha estimation'

1

Christmann, A., and S. Van Aelst. "Robust estimation of Cronbach's alpha." Journal of Multivariate Analysis 97, no. 7 (August 2006): 1660–74. http://dx.doi.org/10.1016/j.jmva.2005.05.012.

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Lisawadi, Supranee, S. Ejaz Ahmed, Orawan Reangsephet, and Muhammad Kashif Ali Shah. "Simultaneous estimation of Cronbach’s alpha coefficients." Communications in Statistics - Theory and Methods 48, no. 13 (November 22, 2018): 3236–57. http://dx.doi.org/10.1080/03610926.2018.1473882.

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3

Ermilov, A. P., and V. P. Yaryna. "Radiometric alpha-emitting nuclide fallout estimation." Measurement Techniques 32, no. 11 (November 1989): 1114–17. http://dx.doi.org/10.1007/bf02159474.

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4

Vrinda Devi, K. V., and Jayshree Ramkumar. "Effect of Alpha Energy on Track Characteristics." Oriental Journal of Physical Sciences 2, no. 2 (December 25, 2017): 75–80. http://dx.doi.org/10.13005/ojps02.02.05.

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Radiation imaging using solid state nuclear track detectors is an important non destructive technique for estimation of radioactive species like plutonium, thorium etc. In this study, two alpha sources were used for imaging of alpha tracks. From the image analysis of the tracks, different track characteristics were analysed. The frequency distribution of track parameters is Gaussian in nature and is found to be affected by the energy of alphas. It was seen that the maximum of the frequency distribution was located at higher values of track diameter (or area) for the tracks registered with alphas of higher energy. This could be attributed to greater extents of structural changes within the polymer upon impingement of alphas with higher energy. The studies could prove to be a marker for the identification of alpha sources of different nuclides.

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Larsson, Pål G., Orvar Eeg-Olofsson, and Göran Lantz. "Alpha Frequency Estimation in Patients With Epilepsy." Clinical EEG and Neuroscience 43, no. 2 (March 22, 2012): 97–104. http://dx.doi.org/10.1177/1550059411433611.

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6

Swami, A., and B. Sadler. "Parameter estimation for linear alpha-stable processes." IEEE Signal Processing Letters 5, no. 2 (February 1998): 48–50. http://dx.doi.org/10.1109/97.659549.

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Chandra, S. Ajay, and Masanobu Taniguchi. "Minimum alpha-divergence estimation for arch models." Journal of Time Series Analysis 27, no. 1 (January 2006): 19–39. http://dx.doi.org/10.1111/j.1467-9892.2005.00444.x.

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8

Payandeh Najafabadi, Amir T., and Maryam Omidi Najafabadi. "On the Bayesian estimation for Cronbach's alpha." Journal of Applied Statistics 43, no. 13 (March 23, 2016): 2416–41. http://dx.doi.org/10.1080/02664763.2016.1163529.

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9

Bu, Yu De, Jing Chang Pan, and Jie Wang. "Estimation of Alpha-Element Abundance Ratios Based on Gaussian Process Regression." Applied Mechanics and Materials 543-547 (March 2014): 1685–88. http://dx.doi.org/10.4028/www.scientific.net/amm.543-547.1685.

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In this paper, we present a method to estimate the [α/Fe ]using the spectra from ninth data release of Sloan Digital Sky Survey (SDSS). We first use principal component analysis (PCA) to reduce the dimension of the spectra, and then use Gaussian process regression (GPR) to estimate the [α/Fe ]ratios. The results show that GPR is accurate and efficient in estimating the [α/Fe]ratios. Further analysis shows that using PCA can improve the estimation accuracy of GPR.

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Knizhnik, E. I., S. G. Stetsenko, and V. V. Tokarevsky. "Estimation of soil surface alpha activity and alpha contamination by polymer track detectors." International Journal of Radiation Applications and Instrumentation. Part D. Nuclear Tracks and Radiation Measurements 19, no. 1-4 (January 1991): 765–68. http://dx.doi.org/10.1016/1359-0189(91)90309-6.

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11

Singaraju, D., and R. Vidal. "Estimation of Alpha Mattes for Multiple Image Layers." IEEE Transactions on Pattern Analysis and Machine Intelligence 33, no. 7 (July 2011): 1295–309. http://dx.doi.org/10.1109/tpami.2010.206.

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12

Kondrashov, V. S., L. Sajo-Bohus, E. D. Greaves, and J. A. Liendo. "Approximation of spectrum alpha peaks by robust estimation." Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment 399, no. 1 (November 1997): 140–46. http://dx.doi.org/10.1016/s0168-9002(97)00810-3.

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13

Lu, Da, and Bin Zou. "Improved alpha angle estimation of polarimetric SAR data." Electronics Letters 52, no. 5 (March 2016): 393–95. http://dx.doi.org/10.1049/el.2015.3268.

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14

Salah, Mukhtar M., Essam A. Ahmed, Ziyad A. Alhussain, Hanan Haj Ahmed, M. El-Morshedy, and M. S. Eliwa. "Statistical inferences for type-II hybrid censoring data from the alpha power exponential distribution." PLOS ONE 16, no. 1 (January 20, 2021): e0244316. http://dx.doi.org/10.1371/journal.pone.0244316.

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This paper describes a method for computing estimates for the location parameter μ > 0 and scale parameter λ > 0 with fixed shape parameter α of the alpha power exponential distribution (APED) under type-II hybrid censored (T-IIHC) samples. We compute the maximum likelihood estimations (MLEs) of (μ, λ) by applying the Newton-Raphson method (NRM) and expectation maximization algorithm (EMA). In addition, the estimate hazard functions and reliability are evaluated by applying the invariance property of MLEs. We calculate the Fisher information matrix (FIM) by applying the missing information rule, which is important in finding the asymptotic confidence interval. Finally, the different proposed estimation methods are compared in simulation studies. A simulation example and real data example are analyzed to illustrate our estimation methods.

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15

Pelekanakis, Konstantinos, and Mandar Chitre. "Adaptive Sparse Channel Estimation under Symmetric alpha-Stable Noise." IEEE Transactions on Wireless Communications 13, no. 6 (June 2014): 3183–95. http://dx.doi.org/10.1109/twc.2014.042314.131432.

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16

Maydeu-Olivares, Alberto, Donna L. Coffman, and Wolfgang M. Hartmann. "Asymptotically distribution-free (ADF) interval estimation of coefficient alpha." Psychological Methods 12, no. 2 (2007): 157–76. http://dx.doi.org/10.1037/1082-989x.12.2.157.

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17

McNerney, Peter J., Janusz Konrad, and Margrit Betke. "Block-Based MAP Disparity Estimation Under Alpha-Channel Constraints." IEEE Transactions on Circuits and Systems for Video Technology 17, no. 6 (June 2007): 785–89. http://dx.doi.org/10.1109/tcsvt.2007.894045.

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18

Phuoc, Le Tan. "Jensen’s Alpha Estimation Models in Capital Asset Pricing Model." Journal of Asian Finance, Economics and Business 5, no. 3 (August 31, 2018): 19–29. http://dx.doi.org/10.13106/jafeb.2018.vol5.no3.19.

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19

Chen, Yuan, Xiao Long Yang, Long-Ting Huang, and Hing Cheung So. "Robust Frequency Estimation in Symmetric $$\alpha $$ α -Stable Noise." Circuits, Systems, and Signal Processing 37, no. 10 (January 29, 2018): 4637–50. http://dx.doi.org/10.1007/s00034-018-0762-3.

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20

Mohammadi, Morteza, Mohammad Amini, and Mahdi Emadi. "A Simulation Study of Semiparametric Estimation in Copula Models Based on Minimum Alpha-Divergence." Statistics, Optimization & Information Computing 8, no. 4 (September 26, 2020): 834–45. http://dx.doi.org/10.19139/soic-2310-5070-974.

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The purpose of this paper is to introduce two semiparametric methods for the estimation of copula parameter. These methods are based on minimum Alpha-Divergence between a non-parametric estimation of copula density using local likelihood probit transformation method and a true copula density function. A Monte Carlo study is performed to measure the performance of these methods based on Hellinger distance and Neyman divergence as special cases of Alpha-Divergence. Simulation results are compared to the Maximum Pseudo-Likelihood (MPL) estimation as a conventional estimation method in well-known bivariate copula models. These results show that the proposed method based on Minimum Pseudo Hellinger Distance estimation has a good performance in small sample size and weak dependency situations. The parameter estimation methods are applied to a real data set in Hydrology.

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21

Bu, Qiang. "Risk estimation bias and mutual fund performance." Review of Behavioral Finance 11, no. 4 (November 11, 2019): 426–40. http://dx.doi.org/10.1108/rbf-03-2018-0023.

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Purpose The purpose of this paper is to create a quantitative measure that captures the effects of investor sentiment in an objective way. Design/methodology/approach The author introduced risk estimation bias (REB) to examine the effects of forecasting error of future market volatility on fund alpha. The author also used GARCH to model the volatility of the REB. Findings The author documented a statistically significant relation between REB and realized market volatility. The author also found that the REB plays a significant role in explaining fund alpha. Originality/value REB is the first quantitative measure to examine the effects of investor sentiment on risk estimation and fund performance. The GRACH properties of REB provide important information on how investor sentiment fluctuates over time.

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22

Amirrudin, Muhammad, Khoirunnisa Nasution, and Supahar Supahar. "Effect of Variability on Cronbach Alpha Reliability in Research Practice." Jurnal Matematika, Statistika dan Komputasi 17, no. 2 (December 23, 2020): 223–30. http://dx.doi.org/10.20956/jmsk.v17i2.11655.

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This study aims to describe the effects of variability through data simulation to determine which aspect of variability that maximizes coefficient of Cronbach Alpha reliability. Cronbach Alpha is widely used for estimation of reliability, in recent still. This study served a conceptual and practical simulation for estimating the profound aspect of Cronbach Alpha coefficient relating to the variability of the data. This study carried out with data simulated using the rand between method by Microsoft Excel then simulate different categorical data responses to different range of items by manipulating sample size, range, number of items, variance and standard deviation. The results show that number of variance and standard deviation of data had the most profound aspect of Cronbach Alpha's reliability other than range. The increasing number on some aspect shows that standard deviation and variance has the stability to shows the positive correlation with the coefficient of Cronbach Alpha reliability other than range.

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23

De Miranda, J. C. S. "Estimation of Causal Functional Linear Regression Models." Journal of Mathematics Research 9, no. 6 (November 6, 2017): 106. http://dx.doi.org/10.5539/jmr.v9n6p106.

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We present a methodology for estimating causal functional linear models using orthonormal tensor product expansions. More precisely, we estimate the functional parameters $\alpha$ and $\beta$ that appear in the causal functional linear regression model:$$\mathcal{Y}(s)=\alpha(s)+\int_a^b\beta(s,t)\mathcal{X}(t)\mathrm{d}t+\mathcal{E}(s),$$ where $\mbox{supp } \beta \subset \mathfrak{T},$ and $\mathfrak{T}$ is the closed triangular region whose vertexes are $(a,a) , (b,a)$ and $(b,b).$ We assume we have an independent sample $\{ (\mathcal{Y}_k,\mathcal{X}_k) : 1\le k \le N, k\in \mathbb{N}\}$ of observations where the $\mathcal{X}_k $'s are functional covariates, the $\mathcal{Y}_k$'s are time order preserving functional responses and $\mathcal{E}_k,$ $1\le k \le N,$ is i.i.d. zero mean functional noise.

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24

Гриньов, Б. В., Л. Л. Ващенко, Н. Р. Гурджян, О. В. Зеленська, В. Р. Любинський, Л. Й. Міцай, and В. О. Тарасов. "ESTIMATION OF UNCERTAINTY MEASUREMENT FOR ALPHA/GAMMA-RELATIONSHIP OF SCINTILLATORS." Ukrainian Metrological Journal, no. 3A (November 30, 2020): 165–69. http://dx.doi.org/10.24027/2306-7039.3a.2020.220055.

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25

Matsuyama, Yasuo. "The Alpha-HMM Estimation Algorithm: Prior Cycle Guides Fast Paths." IEEE Transactions on Signal Processing 65, no. 13 (July 1, 2017): 3446–61. http://dx.doi.org/10.1109/tsp.2017.2692724.

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26

Tsihrintzis, G. A., and C. L. Nikias. "Fast estimation of the parameters of alpha-stable impulsive interference." IEEE Transactions on Signal Processing 44, no. 6 (June 1996): 1492–503. http://dx.doi.org/10.1109/78.506614.

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27

Goodboy, Alan K., and Matthew M. Martin. "Omega over alpha for reliability estimation of unidimensional communication measures." Annals of the International Communication Association 44, no. 4 (October 1, 2020): 422–39. http://dx.doi.org/10.1080/23808985.2020.1846135.

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28

Maydeu-Olivares, Alberto, Donna L. Coffman, and Wolfgang M. Hartmann. ""Asymptotically distribution-free (ADF) interval estimation of coefficient alpha": Correction." Psychological Methods 12, no. 4 (2007): 433. http://dx.doi.org/10.1037/1082-989x.12.4.433.

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29

Iimoto, T., S. Tokonami, and R. Kurosawa. "Estimation Method for Alpha Particle Counting Efficiency for Scintillation Flasks." Radiation Protection Dosimetry 72, no. 1 (July 1, 1997): 55–60. http://dx.doi.org/10.1093/oxfordjournals.rpd.a032078.

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30

Luo, Zhongde. "Nonparametric kernel estimation of CVaR under $$\alpha $$α-mixing sequences." Statistical Papers 61, no. 2 (October 3, 2017): 615–43. http://dx.doi.org/10.1007/s00362-017-0952-2.

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31

Demirci Biçer, Hayrinisa. "Statistical Inference for Alpha-Series Process with the Generalized Rayleigh Distribution." Entropy 21, no. 5 (April 30, 2019): 451. http://dx.doi.org/10.3390/e21050451.

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In the modeling of successive arrival times with a monotone trend, the alpha-series process provides quite successful results. Both selecting the distribution of the first arrival time and making an optimal statistical inference play a crucial role in the modeling performance of the alpha-series process. In this study, when the distribution of the first arrival time is the generalized Rayleigh, the problem of statistical inference for the α , β , and λ parameters of the alpha-series process is considered. Further, in order to obtain optimal modeling performance from the mentioned alpha-series process, various estimators for the model parameters are obtained by employing different estimation methodologies such as maximum likelihood, modified maximum spacing, modified least-squares, modified moments, and modified L-moments. By a series of Monte Carlo simulations, the estimation efficiencies of the obtained estimators are evaluated through the different sample sizes. Finally, two real datasets are analyzed to illustrate the importance of modeling with the alpha-series process.

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32

Benkhaled, Abdelkader, Fethi Madani, and Salah Khardani. "Strong consistency of local linear estimation of a conditional density function under random censorship." Arabian Journal of Mathematics 9, no. 3 (May 16, 2020): 513–29. http://dx.doi.org/10.1007/s40065-020-00282-1.

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Abstract In this paper, we study nonparametric local linear estimation of the conditional density of a randomly censored scalar response variable given a functional random covariate. We establish under general conditions the pointwise almost sure convergence with rates of this estimator under $$\alpha $$ α -mixing dependence. Finally, to show interests of our results, on the practical point of view, we have conducted a computational study, first on a simulated data and, then on some real data concerning Kidney transplant data.

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Islam, Monira, Tazrin Ahmed, Md Salah Uddin Yusuf, and Mohiuddin Ahmad. "Cognitive State Estimation by Effective Feature Extraction and Proper Channel Selection of EEG Signal." Journal of Circuits, Systems and Computers 24, no. 02 (November 27, 2014): 1540005. http://dx.doi.org/10.1142/s0218126615400058.

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This paper presents a cognitive state estimation system focused on some effective feature extraction based on temporal and spectral analysis of electroencephalogram (EEG) signal and the proper channel selection of the BIOPAC automated EEG analysis system. In the proposed approach, different frequency components (i) real value; (ii) imaginary value; (iii) magnitude; (iv) phase angle and (v) power spectral density of the EEG data samples during different mental task performed to assess seven types of human cognitive states — relax, mental task, memory related task, motor action, pleasant, fear and enjoying music on the three channels of BIOPAC EEG data acquisition system — EEG, Alpha and Alpha RMS signal. Also the time and time-frequency-based features were extracted to compare the performance of the system. After feature extraction, the channel efficacy is evaluated by support vector machine (SVM) based on the classification rate in different cognitive states. From the experimental results and classification accuracy, it is determined that the overall accuracy for alpha channel shows much improved result for power spectral density than the other frequency based features and other channels. The classification rate is 69.17% for alpha channel whereas for EEG and alpha RMS channel it is found 47.22% and 32.21%, respectively. For statistical analysis standard deviation shows better result for alpha channel and it is found 65.4%. The time-frequency analysis shows much improved result for alpha channel also. For the mean value of DWT coefficients the accuracy is highest and it is 81.3%. Besides the classification accuracy, SVM shows better performance in compare with kNN classifier.

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34

Hosseini, S. S., H. Hassanabadi, and H. Sobhani. "Estimation of the alpha decay of Platinum isotopes using different versions of theoretical formula." International Journal of Modern Physics E 26, no. 10 (October 2017): 1750069. http://dx.doi.org/10.1142/s0218301317500690.

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The alpha decay half-lives of even–even and even–odd Platinum (Pt) nuclei have been studied within the Coulomb and proximity potential model (CPPM). The present study is restricted to even–even nuclei with [Formula: see text]–198. The results are compared with other calculations such as the Semi-empirical formula (SemFIS) from Poenaru et al. based on fission theory of alpha decay, the Viola–Seaborg (VS), Royer (R) and Brown formulae. Also, the alpha decay half-lives have been calculated using the Scaling law of Brown (SLB), the Universal Decay Law (UDL) of Qi et al., the Scaling Law of Horoi et al. (SLH), and Akrawy–Dorin formula (ADF) of Akrawy and Poenaru, which are the Royer modified formula for alpha decay half-live by adding asymmetry term.

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35

Patton, Steven W. "Robust and least‐squares estimation of acoustic attenuation from well‐log data." GEOPHYSICS 53, no. 9 (September 1988): 1225–32. http://dx.doi.org/10.1190/1.1442563.

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Several least‐squares attenuation (Q) estimation algorithms are tested on various types of models. These algorithms include the spectral ratio method and methods based upon eigenvector decomposition and Wiener filtering. The eigenvector decomposition and Wiener filter methods prove to be unsatisfactory even on model data, while the spectral ratio method yields fairly poor results. Tests indicate that the underlying Q error distribution is non‐Gaussian; hence more robust methods are needed. The errors in Q estimation have an asymptotically Cauchy distribution, with a reasonable noise model and Gaussian input noise. On noise models with Gaussian errors slightly contaminated by Cauchy or Laplacian noise, a maximum‐likelihood (ML) estimator based on Gaussian noise performed best. On heavily contaminated models, the ML estimator based on Laplacian noise performed best; but simple, robust estimators such as the median also did well. On more realistic models with noise, the median and alpha‐trimmed mean (ATM) appear to be the best.

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36

Koutroumanidis, Theodoros, Konstantinos Ioannou, and Eleni Zafeiriou. "FORECASTING BANK STOCK MARKET PRICES WITH A HYBRID METHOD: THE CASE OF ALPHA BANK / VERTYBINIŲ POPIERIŲ KAINŲ PROGNOZAVIMAS HIBRIDINIU METODU: ALPHA BANK PAVYZDYS." Journal of Business Economics and Management 12, no. 1 (April 12, 2011): 144–63. http://dx.doi.org/10.3846/16111699.2011.555388.

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The present study aims at constructing Confidence Intervals (C.I) for the predicted values of a Time Series with the application of a Hybrid method. The presented methodology is complicated and thus is completed in different stages. Initially the Artificial Neural Networks (ANNs) is applied on the raw time series in order to estimate C.I of the forecasts. Then, the Bootstrap method is employed on the residuals generated by the preceded process. On the upper and lower limit of the estimated C.I., two new ANNs are employed in order to make point estimations (of the upper and lower limits) using of Object Oriented Programming. For the empirical analysis daily observations of the closing prices of Alpha Bank stocks have been used. The sample period is extended from 28/01/2004 until 30/11/2005. The nonstationarity of the time series employed in our study is not a forbidding condition for the estimation of the confidence intervals, in our case, since the level of bootstrap still provides a satisfactory approximation for the roots arbitrarily close to unity (Berkowitz, Kilian 1996). The accuracy of the forecasts was surveyed with the use of different criteria and the results were satisfactory.

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37

Bonett, Douglas G. "Sample Size Requirements for Comparing Two Alpha Coefficients." Applied Psychological Measurement 27, no. 1 (January 2003): 72–74. http://dx.doi.org/10.1177/0146621602239477.

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Graphs and tables are currently available for approximating the sample size needed to test the equality of two alpha reliability coefficients with desired power. These tables and graphs are limited to particular values of Type I error, power, and effect size. General formulas are derived to determine the sample size requirements for hypothesis testing with desired power and interval estimation with desired precision.

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38

Kehler, Daniel G., Ransom A. Myers, and Christopher A. Field. "Measurement error and bias in the maximum reproductive rate for the Ricker model." Canadian Journal of Fisheries and Aquatic Sciences 59, no. 5 (May 1, 2002): 854–64. http://dx.doi.org/10.1139/f02-060.

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We investigated the consequences of measurement errors in spawner abundance on the estimation of alpha(tilde), the maximum lifetime reproductive rate, in the Ricker spawner-recruit model. This rate is equivalent to the slope at the origin for the Ricker model, which is crucial for the estimation of management reference points. Simulation results indicate that measurement error in spawner abundance does not lead, in general, to an overestimate of alpha(tilde), as had been previously thought. Instead, the direction, and to some extent the magnitude, of the bias is related to the range of spawner values, and we provide an analytical explanation for this phenomenon. For stocks that have been heavily exploited and have low spawner values, measurement error tends to result in an overestimate of log alpha(tilde), usually by [Formula: see text]5%. Less exploited stocks with large spawner values will have their log alpha(tilde) underestimated, commonly by 15 to 25%. Results from data-based simulations indicate that under certain conditions, empirical Bayes estimates for the distributions for alpha(tilde) among stocks, i.e., the prior distribution, can still be relatively unbiased in the presence of measurement error.

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SONG, Chuan-Ming, Xiang-Hai WANG, and Fu-Yan ZHANG. "Binary Alpha-Plane Assisted Fast Motion Estimation Scheme of Video Object." Journal of Software 19, no. 4 (March 25, 2010): 829–41. http://dx.doi.org/10.3724/sp.j.1001.2008.00829.

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40

Altınkaya, Mustafa A., Hakan Deliç, Bülent Sankur, and Emin Anarım. "Subspace-based frequency estimation of sinusoidal signals in alpha-stable noise." Signal Processing 82, no. 12 (December 2002): 1807–27. http://dx.doi.org/10.1016/s0165-1684(02)00313-4.

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41

Shi, Chengzhuo, Zheng Dou, and Lin Qi. "Distortion-Constraint-Based Group Sparse Channel Estimation Under $\alpha$ -Stable Noise." IEEE Access 7 (2019): 21392–99. http://dx.doi.org/10.1109/access.2019.2897613.

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42

Bonett, Douglas G., and Thomas A. Wright. "Cronbach's alpha reliability: Interval estimation, hypothesis testing, and sample size planning." Journal of Organizational Behavior 36, no. 1 (October 13, 2014): 3–15. http://dx.doi.org/10.1002/job.1960.

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43

BUCKEE, G. K. "ESTIMATION OF ISO-ALPHA-ACIDS IN BEER BY HPLC-COLLABORATIVE TRIAL." Journal of the Institute of Brewing 96, no. 3 (May 6, 1990): 143–48. http://dx.doi.org/10.1002/j.2050-0416.1990.tb01026.x.

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44

Wang, T. J., M. J. Leamen, N. T. McManus, and A. Penlidis. "Copolymerization of Alpha‐Methyl Styrene with Butyl Acrylate: Parameter Estimation Considerations." Journal of Macromolecular Science, Part A 41, no. 11 (December 31, 2004): 1205–20. http://dx.doi.org/10.1081/ma-200029827.

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BISNOVATYI-KOGAN, G. S., A. S. KLEPNEV, and F. GIOVANNELLI. "ESTIMATION OF ALPHA-VISCOSITY COEFFICIENT FROM OBSERVATIONS OF NONSTATIONARY DISK ACCRETION." International Journal of Modern Physics: Conference Series 28 (January 2014): 1460186. http://dx.doi.org/10.1142/s2010194514601860.

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The optical behaviour of the Be star in the high mass X-ray transient A0535+26/ HDE245770 shows that at the periastron typically there is an enhancement in the luminosity of order 0.05 to few tenths mag, and the X- ray outburst happens about 8 days after the periastron. We construct a quantitative model of this event, basing on a nonstationary accretion disk behavior, connected with a high ellipticity of the orbital motion. We explain the observed time delay between the peaks of the optical and X-ray outbursts in this system by the time of radial motion of a matter in the accretion disk, after increase of the mass flux in the vicinity of a periastral point in the binary. This time is determined by the turbulent viscosity, with the parameter α = 0.1 – 0.3, estimated from the comparison of the model with observational data.

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46

Kojima, H. "EXPERIMENTAL ESTIMATION OF A RECOIL FACTOR IN ALPHA DECAY OF RaA." Journal of Atmospheric Electricity 9, no. 2 (1988): 69–74. http://dx.doi.org/10.1541/jae.8.69.

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47

M. Ibrahim, Gamal, Amal S. Hassan, Ehab M. Almetwally, and Hisham M. Almongy. "Parameter Estimation of Alpha Power Inverted Topp-Leone Distribution with Applications." Intelligent Automation & Soft Computing 29, no. 2 (2021): 353–71. http://dx.doi.org/10.32604/iasc.2021.017586.

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48

Martínez-Flórez, Guillermo, Heleno Bolfarine, and Yolanda M. Gómez. "The Skewed-Elliptical Log-Linear Birnbaum–Saunders Alpha-Power Model." Symmetry 13, no. 7 (July 19, 2021): 1297. http://dx.doi.org/10.3390/sym13071297.

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In this paper, the skew-elliptical sinh-alpha-power distribution is developed as a natural follow-up to the skew-elliptical log-linear Birnbaum–Saunders alpha-power distribution, previously studied in the literature. Special cases include the ordinary log-linear Birnbaum–Saunders and skewed log-linear Birnbaum–Saunders distributions. As shown, it is able to surpass the ordinary sinh-normal models when fitting data sets with high (above the expected with the sinh-normal) degrees of asymmetry. Maximum likelihood estimation is developed with the inverse of the observed information matrix used for standard error estimation. Large sample properties of the maximum likelihood estimators such as consistency and asymptotic normality are established. An application is reported for the data set previously analyzed in the literature, where performance of the new distribution is shown when compared with other proposed alternative models.

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Li, Li, and Mingyan He. "A Robust DOA Estimation Based on Sigmoid Transform in Alpha Stable Noise Environment." MATEC Web of Conferences 173 (2018): 02006. http://dx.doi.org/10.1051/matecconf/201817302006.

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Abstract:

To suppress alpha-stable noise and co-channel interference, this paper defines a novel cyclic correlation function, and proposes a new MUSIC algorithm based on sigmoid cyclic correlation function. Furthermore, the proposed algorithm (SCC-MUSIC) is applied to estimate direction of arrival (DOA) in alpha stable distribution noise. Simulation results demonstrate that the proposed SCC-MUSIC can get a better performance than several existing algorithms especially in the highly impulsive noise environments.

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50

Malik, A. S., and S. P. Ahmad. "Transmuted Alpha Power Inverse Rayleigh Distribution: Properties and Application." Journal of Scientific Research 11, no. 2 (May 1, 2019): 185–94. http://dx.doi.org/10.3329/jsr.v11i2.38844.

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Abstract:

This paper proposes a new three parameter-distribution through the technique known as Transmutation. The proposed distribution is named Transmuted Alpha power inverse Rayleigh Distribution. Several important properties of the distribution are derived. The parameter estimation is also carried out. Two real life data set are used at the end to describe the potential application of proposed model.

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Journal articles on the topic 'Alpha estimation'

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