Tweedie regression models and its geometric sums for (semi‐)continuous data

2020 ◽  
Vol 13 (1) ◽  
Author(s):  
Célestin C. Kokonendji ◽  
Wagner H. Bonat ◽  
Rahma Abid
Keyword(s):  
Regression Models ◽  
Continuous Data ◽  
Geometric Sums

scholarly journals Identifying Deep Regression Models for Time Series Prediction of Continuous Data in an Anthropomorphic Robot Telecontrol System

2018 ◽  
Vol 11 (31) ◽  
pp. 1-11
Author(s):  
G. Edwar Jacinto ◽  
Mart�nez S. Fredy H. ◽  
S. Fernando Mart�nez ◽  
◽  
◽  
...  
Keyword(s):  
Time Series ◽  
Regression Models ◽  
Time Series Prediction ◽  
Continuous Data

scholarly journals Flexible Tweedie regression models for continuous data

2017 ◽  
Vol 87 (11) ◽  
pp. 2138-2152 ◽  
Author(s):  
Wagner Hugo Bonat ◽  
Célestin C. Kokonendji
Keyword(s):  
Regression Models ◽  
Continuous Data

scholarly journals Assessing the Development of Shorebird Eggs Using the Flotation Method: Species-Specific and Generalized Regression Models

The Condor ◽  
2007 ◽  
Vol 109 (1) ◽  
pp. 32-47 ◽  
Author(s):  
Joseph R Liebezeit ◽  
Paul A Smith ◽  
Richard B Lanctot ◽  
Hans Schekkerman ◽  
Ingrid Tulp ◽  
...  
Keyword(s):  
Regression Models ◽  
Continuous Data ◽  
Continuous Variables ◽  
Hatching Date ◽  
Regression Analyses ◽  
Incubation Duration ◽  
Flotation Method ◽  
Generalized Regression ◽  
Species Specific ◽  
The Relationship

Abstract Abstract We modeled the relationship between egg flotation and age of a developing embryo for 24 species of shorebirds. For 21 species, we used regression analyses to estimate hatching date by modeling egg angle and float height, measured as continuous variables, against embryo age. For eggs early in incubation, we used linear regression analyses to predict hatching date from logit-transformed egg angles only. For late incubation, we used multiple regression analyses to predict hatching date from both egg angles and float heights. In 30 of 36 cases, these equations estimated hatching date to within four days of the true hatching date for each species. After controlling for incubation duration and egg size, flotation patterns did not differ between shorebirds grouped by mass (≥100 g or <100 g) or taxonomy (Scolopacidae versus Charadriidae). Flotation progressed more rapidly in species in which both adults incubate the clutch versus species in which only one adult incubates the clutch, although this did not affect prediction accuracy. We also pooled all continuous data and created a generalized regression equation that can be applied to all shorebird species. For the remaining three species, we estimated hatching date using five float categories. Estimates of hatching date using categorical data were, overall, less accurate than those generated using continuous data (by 3%–5% of a given incubation period). Our equations were less accurate than results reported in similar studies; data collected by multiple observers and at multiple sites, as well as low sample sizes for some species, likely increased measurement error. To minimize flotation method prediction error, we recommend sampling in early incubation, collecting both egg angle and float height data in late incubation, and developing site- and species-specific regression models where possible.

A Multivariate Approach to Lexical Diversity in Constrained Language

2020 ◽  
Vol 21 (2) ◽  
pp. 169-194
Author(s):  
Marta Kajzer-Wietrzny ◽  
Ilmari Ivaska
Keyword(s):  
Second Language Acquisition ◽  
Regression Models ◽  
Translation Studies ◽  
Methodological Framework ◽  
Multivariate Approach ◽  
Mediated Communication ◽  
Vocabulary Size ◽  
Lexical Diversity ◽  
Linear Mixed Effects ◽  
Word Repetition

Empirical Translation Studies have recently extended the scope of research to other forms of constrained and mediated communication, including bilingual communication, editing, and intralingual translation. Despite the diversity of factors accounted for so far, this new strand of research is yet to take the leap into intermodal comparisons. In this paper we look at Lexical Diversity (LD), which under different guises, has been studied both within Translation Studies (TS) and Second Language Acquisition (SLA). LD refers to the rate of word repetition, and vocabulary size and depth, and previous research indicates that translated and non-native language tends to be less lexically diverse. There is, however, no study that would investigate both varieties within a unified methodological framework. The study reported here looks at LD in spoken and written modes of constrained and non-constrained language. In a two-step analysis involving Exploratory Factor Analysis and linear mixed-effects regression models we find interpretations to be least lexically diverse and written non-constrained texts to be most diverse. Speeches delivered impromptu are less diverse than those read out loud and the non-constrained texts are more sensitive to such delivery-related differences than the constrained ones.

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