Search results for "statistical [methods]"
showing 10 items of 1664 documents
An adaptive multimeme algorithm for designing HIV multidrug therapies.
2007
This paper proposes a period representation for modeling the multidrug HIV therapies and an Adaptive Multimeme Algorithm (AMmA) for designing the optimal therapy. The period representation offers benefits in terms of flexibility and reduction in dimensionality compared to the binary representation. The AMmA is a memetic algorithm which employs a list of three local searchers adaptively activated by an evolutionary framework. These local searchers, having different features according to the exploration logic and the pivot rule, have the role of exploring the decision space from different and complementary perspectives and, thus, assisting the standard evolutionary operators in the optimizati…
An improvement of June-September rainfall forecasting in the Sahel based upon region April-May moist static energy content (1968-1997)
1999
This study provides statistical evidence that June–September Sahelian rainfall hindcasts currently based on oceanic thermal predictors apprehend more the negative trend than the interannual rainfall variations. Four physically meaningful predictors of June–September Sahel rainfall are first selected through the near-surface April–May information and several experimental hindcasts provided. We then discuss the skills achieved using regression techniques and cross-validated discriminant functions. In that context, 8/11 of the driest seasons and 8/10 of the wettest are correctly predicted. Finally using completely independent training and working periods we show that better and significant hin…
Development of the insight scale for affective disorders (ISAD): modification from the scale to assess unawareness of mental disorder.
2011
Abstract Background Research on insight in patients with mood disorders has grown in recent years. Several instruments to assess insight have been used, but most of them have been specifically designed for psychosis and may not appear relevant to mood disorders. The aim of the present study is to develop a short, multidimensional, reliable and valid scale to measure insight in patients with mood disorders, based on the Amador's Scale to Assess Unawareness of Mental Disorders (SUMD). Method A Delphi method was used to facilitate expert participation and ensure face and content validity. The SUMD structure and items were used as a reference in the scale development. A new scale with 17 items …
Effects of the Best Possible Self intervention: A systematic review and meta-analysis
2019
The Best Possible Self (BPS) exercise promotes a positive view of oneself in the best possible future, after working hard towards it. Since the first work that attempted to examine the benefits of this intervention in 2001, studies on the BPS have grown exponentially and, currently, this is one of the most widely used Positive Psychology Interventions. However, little is yet known about its overall effectiveness in increasing wellbeing outcomes. Thus, the aim of this meta-analysis is to shed light on this question. A systematic literature search was conducted, and 29 studies (in 26 articles) met the inclusion criteria of empirically testing the intervention and comparing it to a control con…
Improved variables for measuring theΛbpolarization
1996
We discuss a few possible strategies for measuring the polarization of the {Lambda}{sub {ital b}} baryons produced in {ital e}{sup +}{ital e}{sup {minus}} annihilation at the {ital Z} resonance through their inclusive semileptonic decays. After reviewing the existing methods, an extension is proposed, based on the ratio of the averages of the squared electron and neutrino energies, including both perturbative and nonperturbative corrections. This variable minimizes the statistical error on the {Lambda}{sub {ital b}} polarization, while keeping the systematic theoretical errors at the level of 1{endash}2{percent}. A number of other polarization-sensitive variables are also discussed, such as…
A Comparison of Finnish and United States Franchisee Satisfaction
2004
This paper investigates, using a multi-dimensional model, differences between franchisee satisfaction in Finland and the United States. Comparison of Finnish and American franchisee satisfaction levels is made across eight dimensions of franchisee satisfaction. Data was collected using a postal survey of Quick Service Restaurant (Hamburger) franchisees in Finland and the United States. Results show franchisees in Finland and the United States are overall equally satisfied. Data analysis revealed that for four of the eight dimensions, franchisees in both countries have statistically equal levels of satisfaction. However, for the other four dimensions, a statistical difference exists between …
A comparative analysis of different spatial sampling schemes: Modelling of SSRB data
2008
Low spatial resolution satellite sensors provide information over relatively large targets with typical pixel resolutions of hundreds of km2. However, the spatial scales of ground measurements are usually much smaller. Such differences in spatial scales makes the interpretation of comparisons between quantities derived from low resolution sensors and ground measurements particularly difficult. It also highlights the importance of developing appropriate sampling strategies when designing ground campaigns for validation studies of low resolution sensors. We make use of statistical modelling of high resolution surface shortwave radiation budget (SSRB) data to look into this problem. A spatial …
Individual measurements and nested designs in aquaculture experiments: a simulation study
1998
Simple and nested models for analysis of variance (ANOVA) in aquaculture experiments were compared with the help of computer simulations. Simple models for analysing variables that are based on tank means, such as final weight and growth rate, were found to be sensitive to differences in the number of individual observations in each tank. In comparison to nested models that take into account individual measurements, the simple models were found to overestimate the F ratio and increase the risk of committing type I error, i.e., accepting a false alternative hypothesis. Further, nested models permit greater flexibility in experimental design, and allow more economical solutions within a given…
Identification of breed informative single nucleotide polymorphisms for assigning individual in Sicilian dairy sheep
2015
Assignment tests using genetic information to establish population membership of individuals, provide the most direct methods to determine the population of origin of unknown individuals. The identification of the breed or population of origin of individuals potentially offers unbiased tools in livestock and is useful in a variety of biological contexts. The aim of this study was to identify the minimum number of informative SNPs from highthroughput genotyping data in Sicilian dairy sheep breeds, and to investigate their usefulness for breed assignment purposes. Individuals of Valle del Belice (48), Comisana (48) and Pinzirita (53) sheep breeds were genotyped using Illumina OvineSNP50K Geno…
A Simple Noise Model with Memory for Biological Systems
2005
A noise source model, consisting of a pulse sequence at random times with memory, is presented. By varying the memory we can obtain variable randomness of the stochastic process. The delay time between pulses, i. e. the noise memory, produces different kinds of correlated noise ranging from white noise, without delay, to quasi-periodical process, with delay close to the average period of the pulses. The spectral density is calculated. This type of noise could be useful to describe physical and biological systems where some delay is present. In particular it could be useful in population dynamics. A simple dynamical model for epidemiological infection with this noise source is presented. We …