Irregular Sampling Approach to Neurocontrol: The Band-And Space-Limited Functions Questions

1997 ◽  
pp. 166-170
Author(s):  
Andrzej Dzieliński ◽  
Rafał Żbikowski
Keyword(s):  
Irregular Sampling ◽  
Sampling Approach

KEEFEKTIFAN SEKOLAHDILIHAT DARI DELAPAN STANDART NASIONAL PENDIDIKAN DI WILAYAH EKS KARESIDENAN SURAKARTA

2018 ◽  
Vol 2 (2) ◽  
pp. 199
Author(s):  
Parwanto
Keyword(s):  
School Effectiveness ◽  
Junior High Schools ◽  
Survey Method ◽  
Content Standards ◽  
Educational Standards ◽  
Probability Sampling ◽  
National Education ◽  
Management Standards ◽  
High Level ◽  
Sampling Approach

Abstrak:Penelitian ini bertujuan untuk mengetahui gambaran keefektifan sekolah dilihat dari delapan standar nasional pendidikan. mengetahui tingkat ketecapaian keefektifan sekolahdilihat dari delapan standar nasional pendidikan dan mengetahui dari kedelapan standartnasional pendidikan butir mana disetiap standart yang masih perlu mendapatkan perhatiansecara serius. Metode penelitian yang digunakan adalahmetode survai yakni upayamengumpulkan informasi dari responden yang merupakan contoh dengan menggunakankuesioner yang terstruktur. Populasi dari penelitian ini adalah jumlah satuan pendidikanSekolah Mengengah Pertama (SMP) sebanyak 349 sekolah yang bersatatus sekolah negeriyang menyebar di wilayah eks karesidenan Surakarta. Sampel diambil sebanyak 172 sekolahdengan pendekatan area probability sampling. Instrumen yang digunakan dalam penelitian inimerupakan kuesioner tertutup dengan skala likert. Setelah data terkumpul kemudian dianalisisdengan pendekatan kuantitatif secara deskriptif. Hasil penelitian menunjukkan bahwa dilihatdari standar isi; standar proses; standar kompetensi kelulusan; standar pendidikan dan tenagakependididkan; standar sarana dan prasarana ; standar pengelolaan; standar pembiayaan; danstandar penilaian sudah cukup baik. Ketercapaian delapan standar nasional pendidikan seluruhsekolah sampel sudah mencapai tingkat yang cukup tinggi yakni di atas 90%, kendati masihada beberapa dari sub butir standart yang masih perlu lebih diperbaiki Abstract:The aim of this research is to discover the school effectiveness seen from eightcomponents of standards of national education. From these eight components, we will find outwhich components still need to be regenerated. This research is using survey method bystructured questionnaire to gather information from respondents. The population is 349Government Junior High Schools in a region of ex Surakarta Residence. Total of samples frompopulation is 172 schools, using area probability sampling approach. To collect the data, weused closed questionnaire with Likert scale as the instrument. After all data collected, then weanalyze it descriptively with quantitative approach. The result shown that all the componentsof standards of national education, including content standards; process standards;competence of graduates standards; educational standards and human resource standards;facilities standards; management standards; funding standards; and assesment standards arefairly good. The achievement of eight standards of national education from all sample schoolsalready achieved high level, i.e. above than 90%. But still there are several sub componentsneeds to be regenerated.

Measuring the Information Content of the Beige Book: A Mixed Data Sampling Approach

2008 ◽  
Author(s):  
Michelle T. Armesto ◽  
Ruben Hernandez-Murillo ◽  
Michael Owyang ◽  
Jeremy M. Piger
Keyword(s):  
Information Content ◽  
Mixed Data ◽  
Data Sampling ◽  
Mixed Data Sampling ◽  
Sampling Approach

Microdialysis as an Excellent Sampling Approach for Biomedical Analysis

2005 ◽  
Vol 1 (2) ◽  
pp. 127-133 ◽  
Author(s):  
Mihoko Nakashima ◽  
Mitsuhiro Wada ◽  
Kenichiro Nakashima
Keyword(s):  
Biomedical Analysis ◽  
Sampling Approach

scholarly journals Nested Sampling Approach to Set-membership Estimation

2020 ◽  
Vol 53 (2) ◽  
pp. 7228-7233
Author(s):  
Radoslav Paulen ◽  
Lucian Gomoescu ◽  
Benoît Chachuat
Keyword(s):  
Nested Sampling ◽  
Set Membership ◽  
Sampling Approach

scholarly journals A combination sampling approach for epidemiologic research in humanitarian settings: a case analysis of a study of depressive disorder prevalence among refugees in Greece

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Danielle N. Poole ◽  
Nathaniel A. Raymond ◽  
Jos Berens ◽  
Mark Latonero ◽  
Julie Ricard ◽  
...  
Keyword(s):  
Depressive Disorder ◽  
Case Analysis ◽  
Refugee Camp ◽  
Second Phase ◽  
Two Phase ◽  
Humanitarian Emergencies ◽  
Prevention And Treatment ◽  
Phase Sampling ◽  
Two Phase Sampling ◽  
Sampling Approach

Abstract Background Understanding the burden of common mental health disorders, such as depressive disorder, is the first step in strengthening prevention and treatment in humanitarian emergencies. However, simple random sampling methods may lead to a high risk of coercion in settings characterized by a lack of distinction between researchers and aid organizations, mistrust, privacy concerns, and the overarching power differential between researchers and populations affected by crises. This case analysis describes a sampling approach developed for a survey study of depressive disorder in a Syrian refugee camp in Greece (n = 135). Discussion Syrian refugees face an extraordinarily high burden of depressive disorder during the asylum process (43%), necessitating population screening, prevention, and treatment. In order to preserve the informed consent process in this refugee camp setting, the research team developed a two-phase sampling strategy using a map depicting the geographical layout of the housing units within the camp. In the first phase, camp management announced a research study was being undertaken and individuals were invited to volunteer to participate. The participants’ container (housing) numbers were recorded on the map, but were not linked to the survey data. Then, in the second phase, the camp map was used for complementary sampling to reach a sample sufficient for statistical analysis. As a result of the two phases of the sampling exercise, all eligible adults from half the containers in each block were recruited, producing a systematic, age- and sex-representative sample. Conclusions Combining sampling procedures in humanitarian emergencies can reduce the risk of coerced consent and bias by allowing participants to approach researchers in the first phase, with a second phase of sampling conducted to recruit a systematic sample. This case analysis illuminates the feasibility of a two-phase sampling approach for drawing a quasi-random, representative sample in a refugee camp setting.

scholarly journals A Study on Hematopoietic Stem Cell Donation Volunteer Retention between Swab Sampling Approach and Blood Sampling Approach: Evidence from Shanghai, China

2021 ◽  
Vol 18 (8) ◽  
pp. 4027
Author(s):  
Ke Yan ◽  
Gang Zhang ◽  
Guoqiang Zhao ◽  
Baosong Liu ◽  
Jun Lu
Keyword(s):  
Stem Cell ◽  
Blood Sample ◽  
Hematopoietic Stem Cell ◽  
Blood Sampling ◽  
Distribution Characteristics ◽  
Hematopoietic Stem ◽  
Volunteer Retention ◽  
Sample Group ◽  
Stem Cell Donation ◽  
Sampling Approach

The loss of hematopoietic stem cell donation (HSCD) volunteers is widespread worldwide. This study analyzed the distribution characteristics of volunteer retention between the swab sampling approach and blood sampling approach. The Shanghai branch of the China Bone Marrow Donation Program conducted a telephone follow-up with 18,963 volunteers to understand volunteer retention. Multiple logistic regression was used to analyze the distribution characteristics of volunteer retention between two different sampling approaches, and a forest plot was used to observe the distribution trend. Only 32.37% of the volunteers could be contacted, and the loss of volunteers was severe. The volunteer retention is influenced by sampling approaches and demographic characteristics, and Shanghai natives, the highly educated, and students had better retention. The volunteer retention of the swab group was better among young people and technicians, while the volunteer retention of the blood sample group was lower among public officials and workers, and the volunteer retention in the blood sample group was more significantly affected by changes in population characteristics. To enhance the stability of volunteers, managers should improve the contact channels and frequency, expand the ratio of stable volunteers, strengthen volunteer education in the process of collecting blood samples, and respect individuals’ willingness.

scholarly journals Bias correction for direct spectral estimation from irregularly sampled data including sampling schemes with correlation

2021 ◽  
Vol 2021 (1) ◽  
Author(s):  
Nils Damaschke ◽  
Volker Kühn ◽  
Holger Nobach
Keyword(s):  
Spectral Estimation ◽  
Continuous Distribution ◽  
Discrete Distribution ◽  
Irregular Sampling ◽  
The Other ◽  
Sampled Data ◽  
Sampling Schemes ◽  
Other Hand ◽  
Sampling Intervals ◽  
Irregularly Sampled Data

AbstractThe prediction and correction of systematic errors in direct spectral estimation from irregularly sampled data taken from a stochastic process is investigated. Different sampling schemes are investigated, which lead to such an irregular sampling of the observed process. Both kinds of sampling schemes are considered, stochastic sampling with non-equidistant sampling intervals from a continuous distribution and, on the other hand, nominally equidistant sampling with missing individual samples yielding a discrete distribution of sampling intervals. For both distributions of sampling intervals, continuous and discrete, different sampling rules are investigated. On the one hand, purely random and independent sampling times are considered. This is given only in those cases, where the occurrence of one sample at a certain time has no influence on other samples in the sequence. This excludes any preferred delay intervals or external selection processes, which introduce correlations between the sampling instances. On the other hand, sampling schemes with interdependency and thus correlation between the individual sampling instances are investigated. This is given whenever the occurrence of one sample in any way influences further sampling instances, e.g., any recovery times after one instance, any preferences of sampling intervals including, e.g., sampling jitter or any external source with correlation influencing the validity of samples. A bias-free estimation of the spectral content of the observed random process from such irregularly sampled data is the goal of this investigation.

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