Bayesian inversion of multi‐frequency reflection data with strongly correlated errors for density gradients

2005 ◽  
Vol 117 (4) ◽  
pp. 2435-2435
Author(s):  
Jan Dettmer ◽  
Stan E. Dosso ◽  
Charles W. Holland
Keyword(s):  
Bayesian Inversion ◽  
Density Gradients ◽  
Strongly Correlated ◽  
Correlated Errors ◽  
Reflection Data

Bayesian inversion of frequency‐averaged reflection data

2005 ◽  
Vol 117 (4) ◽  
pp. 2435-2435
Author(s):  
Stan E. Dosso ◽  
Charles W. Holland
Keyword(s):  
Bayesian Inversion ◽  
Reflection Data

scholarly journals HOW TO AVOID THE ZERO-POWER TRAP IN TESTING FOR CORRELATION

2021 ◽  
pp. 1-33
Author(s):  
David Preinerstorfer
Keyword(s):  
Power Function ◽  
Regression Models ◽  
Strongly Correlated ◽  
Correlated Errors ◽  
Initial Test ◽  
Power Of Tests ◽  
Optimality Properties ◽  
Theoretical Results ◽  
Modified Test

In testing for correlation of the errors in regression models, the power of tests can be very low for strongly correlated errors. This counterintuitive phenomenon has become known as the “zero-power trap.” Despite a considerable amount of literature devoted to this problem, mainly focusing on its detection, a convincing solution has not yet been found. In this article, we first discuss theoretical results concerning the occurrence of the zero-power trap phenomenon. Then, we suggest and compare three ways to avoid it. Given an initial test that suffers from the zero-power trap, the method we recommend for practice leads to a modified test whose power converges to $1$ as the correlation gets very strong. Furthermore, the modified test has approximately the same power function as the initial test and thus approximately preserves all of its optimality properties. We also provide some numerical illustrations in the context of testing for network generated correlation.

The Concurrent Validity of the Minnesota Child Development Inventory as a Measure of Young Children's Language Development

1989 ◽  
Vol 54 (1) ◽  
pp. 101-105 ◽  
Author(s):  
J. Bruce Tomblin ◽  
Cynthia M. Shonrock ◽  
James C. Hardy
Keyword(s):  
Child Development ◽  
Language Development ◽  
Expressive Language ◽  
Strong Predictor ◽  
Receptive Language ◽  
Strongly Correlated ◽  
Language Measure ◽  
The Mean ◽  
Child Development Inventory ◽  
Mean Length Of Utterance

The extent to which the Minnesota Child Development Inventory (MCDI), could be used to estimate levels of language development in 2-year-old children was examined. Fifty-seven children between 23 and 28 months were given the Sequenced Inventory of Communication Development (SICD), and at the same time a parent completed the MCDI. In addition the mean length of utterance (MLU) was obtained for each child from a spontaneous speech sample. The MCDI Expressive Language scale was found to be a strong predictor of both the SICD Expressive scale and MLU. The MCDI Comprehension-Conceptual scale, presumably a receptive language measure, was moderately correlated with the SICD Receptive scale; however, it was also strongly correlated with the expressive measures. These results demonstrated that the Expressive Language scale of the MCDI was a valid predictor of expressive language for 2-year-old children. The MCDI Comprehension-Conceptual scale appeared to assess both receptive and expressive language, thus complicating its interpretation.

New research frameworks in the study of chimpanzee and gorilla sociality and communication

2019 ◽  
Author(s):  
Sam G. B. Roberts ◽  
Anna Roberts
Keyword(s):  
Social Evolution ◽  
Social Complexity ◽  
Brain Size ◽  
Social Systems ◽  
Strongly Correlated ◽  
The Social ◽  
Human Social Evolution ◽  
Research Frameworks ◽  
New Research ◽  
Large Groups

Group size in primates is strongly correlated with brain size, but exactly what makes larger groups more ‘socially complex’ than smaller groups is still poorly understood. Chimpanzees (Pan troglodytes) and gorillas (Gorilla gorilla) are among our closest living relatives and are excellent model species to investigate patterns of sociality and social complexity in primates, and to inform models of human social evolution. The aim of this paper is to propose new research frameworks, particularly the use of social network analysis, to examine how social structure differs in small, medium and large groups of chimpanzees and gorillas, to explore what makes larger groups more socially complex than smaller groups. Given a fission-fusion system is likely to have characterised hominins, a comparison of the social complexity involved in fission-fusion and more stable social systems is likely to provide important new insights into human social evolution

UPAYA PENINGKATAN HASIL BELAJAR PASING BAWAH BOLA VOLI DENGAN PENDEKATAN BERMAIN PADA SISWA KELAS X MAN DEMAK

2020 ◽  
Vol 13 (2) ◽  
pp. 41-55
Author(s):  
Indrianto Arif Ramadhana ◽  
Jeff Agung Perdana
Keyword(s):  
Data Analysis ◽  
Learning Outcomes ◽  
Action Observation ◽  
Student Learning Outcomes ◽  
Affective Domain ◽  
Cognitive Domain ◽  
Reflection Data ◽  
Normalized Gain ◽  
Improve Student Learning ◽  
Planning Action

Forearm pass is one of the materials that must be mastered by students of class X Senior High School. In fact, many students do not yet master and know forearm pass techniques. This research is a classroom action research (CAR) with two cycles. Each cycle consists of 4 stages, namely: planning, action, observation and reflection. Data collection was carried out using observations and questionnaires. Data were analyzed using Hake's Normalized Gain formula. From the results of the study it is known that the psychomotor domain of students increased by 0.42 with average criteria from cycle 1 to cycle 2. The affective domain increased by 0.37 with average criteria. The cognitive domain increased by 0.39 with average criteria. Based on the results of the data analysis, it can be concluded that learning forearm pass techniques with games method can improve student learning outcomes.

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