scholarly journals Stratied Finite Empirical Bernstein Sampling

2019 ◽  
Author(s):  
Mark Alexander Burgess ◽  
Archie C. Chapman
Keyword(s):  
Random Sampling ◽  
Cooperative Games ◽  
Prior Information ◽  
Sampling Method ◽  
Synthetic Data ◽  
Data Sets ◽  
Concentration Inequality ◽  
The Mean ◽  
Sample Variances ◽  
Online Sampling

We derive a concentration inequality for the uncertainty in the mean computed by stratified random sampling, and provide an online sampling method based on this inequality.  Our concentration inequality is versatile and considers a range of factors including: the data ranges, weights, sizes of the strata, the number of samples taken, the estimated sample variances, and whether strata are sampled with or without replacement.  Sequentially choosing samples to minimize this inequality leads to a online method for choosing samples from a stratified population.  We evaluate and compare the effectiveness of our method against others for synthetic data sets, and also in approximating the Shapley value of cooperative games.  Results show that our method is competitive with the performance of Neyman sampling with perfect variance information, even without having prior information on strata variances.We also provide a multidimensional extension of our inequality and discuss future applications.

scholarly journals Stratied Finite Empirical Bernstein Sampling

2019 ◽  
Author(s):  
Mark Burgess ◽  
Archie Chapman
Keyword(s):  
Shapley Value ◽  
Random Sampling ◽  
Cooperative Games ◽  
Prior Information ◽  
Synthetic Data ◽  
Concentration Inequality ◽  
Sample Variances

We derive a concentration inequality for the uncertainty in stratied random sampling. Minimising this inequality leads to an iterated online method for choosing samples from the strata. The inequality is versatile and considers a range of factors including: the data ranges, weights, sizes of the strata, as well as the number of samples taken, the estimated sample variances and whether strata are sampled with or without replacement. We evaluate the improvement this method reliably offers against other methods over sets of synthetic data, and also in approximating the Shapley value of cooperative games. The method is seen to be competitive with the performance of perfect Neyman sampling, even without prior information on strata variances. We supply a multidimensional extension of our inequality and discuss some future applications.

scholarly journals A Study of Suicidal Tendency among Annamalai University Students

2016 ◽  
Vol 3 (3) ◽  
Author(s):  
M. Amin Wani ◽  
Dr. R. Sankar ◽  
Binshad M. ◽  
Nargees S. ◽  
Anicham J.
Keyword(s):  
College Students ◽  
Data Analysis ◽  
Cause Of Death ◽  
Random Sampling ◽  
Sampling Method ◽  
Female Students ◽  
Male Students ◽  
Science Students ◽  
Suicidal Tendency ◽  
The Mean

Objective: – Suicide is third leading cause of death among modern youth and second leading cause of death among college students. The present study examined effect of gender and faculty on suicidal tendency among students. Method: – This study is based on sample of 100 students divided into two groups 50 males and 50 females. In each group 25 students have science & 25 have arts subjects. Samples were selected through sample random sampling method. The suicidal tendency among the students was measured by Suicidal Tendency Scale constructed by Dr. D. J. Bhatt and Dr. R. G. Meghnathi. Mean & ANOVA were applied for data analysis. Results: – The results of the present study demonstrated that female student’s shows high suicidal tendency than male students as the mean score of female students (74.38) is more than mean score of male students (71.06). Results also revealed that students from science faculty have also high suicidal tendency than arts students as the obtained mean scores of science students (76.88) is more than mean scores of students of arts faculty (68.56). Conclusions: – Female and science students have high suicidal tendency than male students and arts students.

scholarly journals A Simple Method for Limiting Disclosure in Continuous Microdata Based on Principal Component Analysis

2017 ◽  
Vol 33 (1) ◽  
pp. 15-41 ◽  
Author(s):  
Aida Calviño
Keyword(s):  
Principal Component Analysis ◽  
Principal Components ◽  
Synthetic Data ◽  
Principal Component ◽  
Component Analysis ◽  
Data Sets ◽  
Simple Method ◽  
Processing Times ◽  
The Mean ◽  
Mean Vector

Abstract In this article we propose a simple and versatile method for limiting disclosure in continuous microdata based on Principal Component Analysis (PCA). Instead of perturbing the original variables, we propose to alter the principal components, as they contain the same information but are uncorrelated, which permits working on each component separately, reducing processing times. The number and weight of the perturbed components determine the level of protection and distortion of the masked data. The method provides preservation of the mean vector and the variance-covariance matrix. Furthermore, depending on the technique chosen to perturb the principal components, the proposed method can provide masked, hybrid or fully synthetic data sets. Some examples of application and comparison with other methods previously proposed in the literature (in terms of disclosure risk and data utility) are also included.

scholarly journals A Comparison of Quality of Life and Happiness of Children and Adolescents in Residential Care with Children and Adolescents in Parental Care of Ahvaz in 2015

2020 ◽  
Vol 11 (3) ◽  
Author(s):  
Maryam Khormehr ◽  
Elham Abdolahi Shahvali ◽  
Marzieh Ziaeirad ◽  
Azam Honarmandpour
Keyword(s):  
Quality Of Life ◽  
Parental Care ◽  
Children And Adolescents ◽  
Residential Care ◽  
Random Sampling ◽  
Sampling Method ◽  
Multi Stage ◽  
Children's Home ◽  
The Mean

: Although living in a children’s home provides physical security, nutrition, and shelter, it may lack psychological security. Therefore, attention needs to be focused on the quality of life of children and adolescents living in children’s homes. This descriptive-analytic study was conducted from April to January 2015 to compare the quality of life and happiness in adolescents and children in residential care and those in parental care in Ahvaz. This study, using an available multi-stage random sampling method, was performed on 150 children and adolescents aged 18 - 8 years old, the information of 75 children available in residential care, and 75 children and adolescents in parental care were gathered. The result showed the mean quality of life scores and happiness in children and adolescents in residential care (80.8 ± 9.08, 67.05 ± 13.59) was significantly lower than the mean score quality of life and the happiness of children and adolescents in parental care (103.61 ± 8.88, 83.24 ± 15.92) (P < 0.0001). Children and adolescents in residential care had a lower quality of life and happiness than children and adolescents in parental care.

scholarly journals Sleep pattern among the medical students in Western Odisha

2020 ◽  
Vol 7 (6) ◽  
pp. 2245
Author(s):  
Mamata Rani Giri ◽  
Arun Kumar Sahoo
Keyword(s):  
Medical Students ◽  
Random Sampling ◽  
Sampling Method ◽  
Simple Random Sampling ◽  
Cross Sectional Study ◽  
Sectional Study ◽  
Cross Sectional ◽  
Optimal Functioning ◽  
The Mean ◽  
Inadequate Sleep

Background: Adequate sleep is required for optimal functioning of human body and mind. Attention and concentration difficulties are related to inadequate sleep among the students. Medical students are considered a stressful group of students because of their hectic schedule. The present study was carried out to know the sleeping pattern among the medical students.Methods: A cross-sectional study was conducted in VIMSAR, Burla, Sambalpur in 2016 among the MBBS Students. Fifty students from each batch were selected by simple random sampling method. Information were collected in a pre-designed pretested questionnaire and was analyzed with Ms-Excel.Results: One hundred and fifty students were selected as the study subjects. The mean bed time during working days was found to be 11:22 pm. Majority of the students 70 (46.6%) were going to bed between 11-12 am. The mean wake up time during working days was 6:52 am and week end was 8:14 am. 75 (50%) students sleep for 6 hours and 42 minutes. 7 (6%) students sleep for 4 hours and 30 minutes. The mean duration of sleep in working days was 6 hours and 46 minutes and in the weekend was 7 hours and 34 minutes.Conclusions: There was less duration of sleep as compared to the recommended sleep duration along with the increase in the mean bed time sleep. It is a concern for the students to prevent the sleep disorder development in future.

scholarly journals The Level of Instructional Leadership Practices Among Principals of National Religious Secondary School in Malaysia

2019 ◽  
Vol 7 (03) ◽  
Author(s):  
Samsiah Binti Si-Rajab ◽  
Prof. Madya ◽  
Dr. Khalip Bin Musa
Keyword(s):  
Instructional Leadership ◽  
Secondary School ◽  
Random Sampling ◽  
Leadership Practices ◽  
Sampling Method ◽  
School Achievement ◽  
Descriptive Statistics ◽  
Instructional Leaders ◽  
Systematic Random Sampling ◽  
The Mean

It is stated that Instructional leaders are responsible for making sure that positive attitude towards change is organised and created among members of the school. The study aimed to identify the level of Instructional Leadership practices among principals of the National Religious Secondary School in Malaysia. A total of 365 respondents from 57 National Religious Secondary Schools were selected by systematic random sampling method to answer the questionaires. Data is analyzed by using descriptive statistics identifying the mean, standard deviation and percentage to recognise the level. The result showed that the level of Instructional Leadership practices is significantly high (mean=3.85, s.d.=0.41).   In conclusion, the study found that the level of Instructional Leadership Practices is high among the principals of the schools.  The research implied that Instructional Leadership plays an important role and should be adopted by the principals and teachers of National Religious Secondary School to increase School Achievement.   Keywords:     Instructional Leadership, Principals, National Religious Secondary School, School Achievement 

scholarly journals Median Double Ranked Set Sampling Method

2018 ◽  
Vol 14 (1) ◽  
pp. 7503-7512
Author(s):  
Nuran Medhat Al-Mawan ◽  
El-Houssainy Rady ◽  
Nasr Rashwan
Keyword(s):  
Random Sampling ◽  
Traditional Method ◽  
Sampling Method ◽  
Sampling Methods ◽  
Cost Effective ◽  
Simple Random Sampling ◽  
Ranked Set Sampling ◽  
Median Ranked Set Sampling ◽  
Observational Economy ◽  
The Mean

In environmental monitoring and assessment, the main focus is to achieve observational economy and to collect data with unbiased, efficient and cost-effective sampling methods. Ranked set sampling (RSS) is one traditional method that is mostly used for accomplishing observational economy. In this article, we suggested new sampling method called median double ranked set sampling (MDRSS). The newly suggested sampling method MDRSS is compare to the simple random sampling (SRS), RSS, double ranked set sampling (DRSS), median ranked set sampling (MRSS). When the underlying distributions are symmetric and asymmetric, it is shown that, the variance of the mean estimator under MDRSS is always less than the variance of the mean estimator based on SRS and the other methods.

scholarly journals How much deep learning is enough for automatic identification to be reliable?

2020 ◽  
Vol 90 (6) ◽  
pp. 823-830
Author(s):  
Jun-Ho Moon ◽  
Hye-Won Hwang ◽  
Youngsung Yu ◽  
Min-Gyu Kim ◽  
Richard E. Donatelli ◽  
...  
Keyword(s):  
Artificial Intelligence ◽  
Deep Learning ◽  
Random Sampling ◽  
Sampling Method ◽  
Automatic Identification ◽  
Logarithmic Scale ◽  
Data Sets ◽  
Radial Error ◽  
Optimal Quantity ◽  
Learning Data

ABSTRACT Objectives To determine the optimal quantity of learning data needed to develop artificial intelligence (AI) that can automatically identify cephalometric landmarks. Materials and Methods A total of 2400 cephalograms were collected, and 80 landmarks were manually identified by a human examiner. Of these, 2200 images were chosen as the learning data to train AI. The remaining 200 images were used as the test data. A total of 24 combinations of the quantity of learning data (50, 100, 200, 400, 800, 1600, and 2000) were selected by the random sampling method without replacement, and the number of detecting targets per image (19, 40, and 80) were used in the AI training procedures. The training procedures were repeated four times. A total of 96 different AIs were produced. The accuracy of each AI was evaluated in terms of radial error. Results The accuracy of AI increased linearly with the increasing number of learning data sets on a logarithmic scale. It decreased with increasing numbers of detection targets. To estimate the optimal quantity of learning data, a prediction model was built. At least 2300 sets of learning data appeared to be necessary to develop AI as accurate as human examiners. Conclusions A considerably large quantity of learning data was necessary to develop accurate AI. The present study might provide a basis to determine how much learning data would be necessary in developing AI.

scholarly journals Frequency of Various Causes of Hospitalization and Its Other Related Factors in Patients with Heart Failure

2021 ◽  
pp. 30-36
Author(s):  
Hamid Reza Jafarie ◽  
Elahe Zare ◽  
Mohammad Shafiee
Keyword(s):  
Heart Failure ◽  
Random Sampling ◽  
Sampling Method ◽  
Statistical Tests ◽  
Descriptive Study ◽  
Related Factors ◽  
Cross Sectional ◽  
Significant Difference ◽  
Patients With Heart Failure ◽  
The Mean

Background: Heart failure has the highest rate of Rehospitalization with 20-33% readmissions within 1 to 3 months of discharge from the hospital. we decided to find out the frequency of different causes of hospitalization in patients with heart failure during 2017 to 2019. Methods: This study was a cross-sectional descriptive study. A total of 120 patients with heart failure who were referred to Afshar Hospital of Yazd during 2017 to 2019 were enrolled. The random sampling method was used.The required information was collected from heart failure patients’ registry project. datum were collected and were analyzed by statistical tests and SPSS version 18. Results: The mean age of patients was 53.53±12.36 years. Of the 120 patients under study,41.7% were women and 58.3% were male. The results showed that, 14.2% did not follow the recommended diet,14.2% had not regular use of drugs,14.2% had renal dysfunction,9.2% had miscellaneous causes,8.3% had pulmonary disease and 40% had idiopathic cause(where the cause of the condition is not known). There was no significant difference among the distribution of various causes of hospitalization in terms of the variables in the study. Conclusions: It can be concluded that the most common reason for hospitalization of patients with heart failure is idiopathic cause.

scholarly journals Short Communication: The diversity of intestinal parasitic helminths in children of Silvercity, Linden, Guyana

2018 ◽  
Vol 19 (4) ◽  
pp. 1289-1293
Author(s):  
JOENITTA ARTHUR -MCKENZIE, ◽  
ABDULLAH ADIL ANSARI
Keyword(s):  
Ascaris Lumbricoides ◽  
Random Sampling ◽  
Sampling Method ◽  
Short Communication ◽  
Simple Random Sampling ◽  
Enterobius Vermicularis ◽  
Community Members ◽  
Parasitic Helminths ◽  
Wet Mount ◽  
The Mean

Arthur-McKenzie J, Ansari AA. 2018. Short Communication: The diversity of intestinal parasitic helminths in children ofSilvercity, Linden, Guyana. Biodiversitas 19: 1289-1293. This study was conducted in the Silvercity area, Linden, Guyana andendeavored to determine the prevalence of intestinal parasitic helminths in children aged 5-15 and the level of awareness of theseparasitic infections among community members. Questionnaires were distributed to 30 households and 26 children which accounts for40% of the population aged 5-15 using a simple random sampling method and tested during the months of February-April 2017. Thefecal samples were collected from 26 children selected randomly and were analyzed using wet mount and formalin-ether sedimentationmethod. The highest age was 15 and the lowest 5, the mean age was 8. The results showed that there was a 57.6% (15/26) prevalence ofintestinal parasitic helminths among children aged 5-15 within the Silvercity area. Among the parasites found, Ascaris lumbricoides wasthe most prevalent (38%; 10/26) followed by Enterobius vermicularis (19%; 5/26), Trichuris trichiura (15%; 4/26) and hookworm(3.8%; 1/26). Study also found that the level of awareness of transmission among community members was 40%.

Sign in / Sign up

Export Citation Format

Share Document