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[PDF] Top 20 Functional data analysis in phonetics

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Functional data analysis in phonetics

Functional data analysis in phonetics

... our data observation unit ...During data generation, each speaker read the text in his/her natural manner, and these recordings were then hand annotated with break ...linguistic data were transcribed ... See full document

210

Statistical analysis of wind and rainfall with functional data analysis technique

Statistical analysis of wind and rainfall with functional data analysis technique

... The Analysis Deviances of Wind Data for Ten Station (2) Determine The Analysis Deviances of Rainfall Data for Ten Stations (3) Determine The Plotfit of Smoothing Curves of Wind Data for ... See full document

20

Phonetics of Speech Acts: A Pilot Study

Phonetics of Speech Acts: A Pilot Study

... the data for current ...calculated. Analysis of variance (ANOVA) was used to detect if there is any significant difference of PVI values between different tones or different speech ... See full document

7

The Phonetics of Multiple Vowel Lengthening in Japanese

The Phonetics of Multiple Vowel Lengthening in Japanese

... Since there are many comparisons (6 levels of emphasis * 3 types of vowels * 7 speakers), no pair-wise comparisons at each emphasis level were conducted, in order to avoid Type I error (i.e. to avoid finding some ... See full document

8

Smoothing wind and rainfall data through functional data analysis technique

Smoothing wind and rainfall data through functional data analysis technique

... Functional Data Analysis (FDA) develops fast in statistics area with the aim of estimating a set of related functions or curves rather than focusing on a single ...a functional data ... See full document

8

Shape information from glucose curves: Functional data analysis compared with traditional summary measures

Shape information from glucose curves: Functional data analysis compared with traditional summary measures

... While a FPCA will decompose the variation between individual curves into a set of uncorrelated, temporal features, the clinical usefulness of this analysis depends on how the FPCs are interpreted. In this study, ... See full document

15

Classifying Aneugens Using Functional Data Analysis Techniques

Classifying Aneugens Using Functional Data Analysis Techniques

... the functional curves that originate from cultured TK6 cells that have been exposed to fluorescent Taxol (Taxol 488) for four hours and co-treated with known aneugens over a range of ... See full document

53

Longitudinal Functional Data Analysis with Biomedical Applications.

Longitudinal Functional Data Analysis with Biomedical Applications.

... Selecting the optimal value of the smoothing parameter has been discussed extensively in the literature. Two widely used criteria are the generalized cross validation (GCV) and the restricted maximum likelihood (REML). ... See full document

183

Exploring functional data analysis and wavelet principal component analysis on ecstasy (MDMA) wastewater data

Exploring functional data analysis and wavelet principal component analysis on ecstasy (MDMA) wastewater data

... Even though the patterns extracted by PCA, FPCA and WPCA were qualitatively consistent, the interpret- ation of the principal components (PCs) and WPCs can be difficult to compare to the FPCs. In PCA, individual days are ... See full document

12

Happ, Clara Maria
  

(2017):


	Statistical methods for data with different dimensions: multivariate functional PCA and scalar-on-image regression.


Dissertation, LMU München: Fakultät für Mathematik, Informatik und Statistik

Happ, Clara Maria (2017): Statistical methods for data with different dimensions: multivariate functional PCA and scalar-on-image regression. Dissertation, LMU München: Fakultät für Mathematik, Informatik und Statistik

... The aim of this analysis is to find a relation between a neuropsychological test (Alzheimer’s disease assessment scale - cognitive subscale, ADAS-Cog: Rosen et al., 1984) and FDG- PET images, which measure the ... See full document

226

Sí, Se Puede (Yes, We Can), Culturally Relevant Biographies: A study on the impact of culturally relevant biographies on social studies instruction

Sí, Se Puede (Yes, We Can), Culturally Relevant Biographies: A study on the impact of culturally relevant biographies on social studies instruction

... to data from many ...to data with smooth random curves, this method can be applied to analyze data where the sample curves can be un- smooth or even discontinuous, such as those encountered in ... See full document

157

Usage of modern computer technologies in the learning process of the philologists of complex analysis of Russian poetic texts

Usage of modern computer technologies in the learning process of the philologists of complex analysis of Russian poetic texts

... statistical analysis of lower structural levels (meter, rhythm, phonetics, vocabulary) of Russian poetic texts, also we describe the software tool for the processing of the poetic texts which is developed ... See full document

5

Covariance-based Clustering in Multivariate and Functional Data Analysis

Covariance-based Clustering in Multivariate and Functional Data Analysis

... subdivides data in two groups maximising the distance between their induced ...of functional data, namely a linear shrinkage estimator, in order to improve the precision of the ...synthetic ... See full document

21

An Improved Parser for Data Oriented Lexical Functional Analysis

An Improved Parser for Data Oriented Lexical Functional Analysis

... We presented a parser which analyzes new input by probabilistically combining fragments from LFG-annotated corpora into new analyses. We have seen that the parse accuracy increased with increasing fragment size, and that ... See full document

8

Multivariate Functional Regression for Classification With an Application to Geology

Multivariate Functional Regression for Classification With an Application to Geology

... of functional data such as linear functional discriminant analysis [13], functional logistic regression [28] [21], functional multinomial regression [1], functional ... See full document

6

Applications of functional data analysis: A systematic review

Applications of functional data analysis: A systematic review

... series data, a key strength of the FDA approach is that it makes no parametric assumptions about age or time ...forecasting data across a range of health and demo- graphic issues also have significant ... See full document

12

Phonetics and Phonology: An Analysis of Effects of Phonological Similarities on Working Memory

Phonetics and Phonology: An Analysis of Effects of Phonological Similarities on Working Memory

... The current paper assumes the very interesting phenomenon that is “effects of phonological-similarity on working memory”. Phonological-similarity effect is a whole term that asserts that to recall dissimilar items from ... See full document

13

Functional Analysis of Chemometric Data

Functional Analysis of Chemometric Data

... this functional reconstruction of spectra from discrete observations lies in its combination of dimensionality reduction (number of basis functions) and smoothing (de- gree of B-spline basis ...(noisy ... See full document

10

Phonetics and Phonology

Phonetics and Phonology

... analysis. A second strong argument in favour of raising awareness of phon concepts is that it unlocks an almost unlimited resource, namely the speech patterns of those involved in the lesson. One of the great ... See full document

12

Phonetics and prosody in conversation

Phonetics and prosody in conversation

... on phonetics and prosody in conversation, and consequently there has been a steady growth in the amount of published empirical ...any analysis arises out of, and accounts for, the details of single episodes ... See full document

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