scholarly journals Selected topics in statistical computing

2017 ◽  
Vol 01 (01) ◽  
pp. 1630013 ◽  
Author(s):  
Suneel Babu Chatla ◽  
Chun-Houh Chen ◽  
Galit Shmueli
Keyword(s):  
Data Analysis ◽  
Density Estimation ◽  
Statistical Methods ◽  
Kernel Smoothing ◽  
Smoothing Splines ◽  
Additive Models ◽  
Statistical Computing ◽  
Computational Statistics ◽  
Computing Power ◽  
Computationally Intensive

The field of computational statistics refers to statistical methods or tools that are computationally intensive. Due to the recent advances in computing power, some of these methods have become prominent and central to modern data analysis. In this paper, we focus on several of the main methods including density estimation, kernel smoothing, smoothing splines, and additive models. While the field of computational statistics includes many more methods, this paper serves as a brief introduction to selected popular topics.

scholarly journals Data-driven deep density estimation

2021 ◽  
Author(s):  
Patrik Puchert ◽  
Pedro Hermosilla ◽  
Tobias Ritschel ◽  
Timo Ropinski
Keyword(s):  
Data Analysis ◽  
Density Estimation ◽  
Population Data ◽  
Training Data ◽  
Data Driven ◽  
Discrete Observations ◽  
Efficient Manner ◽  
Continuous Models ◽  
3D Scans ◽  
Spatial Locations

AbstractDensity estimation plays a crucial role in many data analysis tasks, as it infers a continuous probability density function (PDF) from discrete samples. Thus, it is used in tasks as diverse as analyzing population data, spatial locations in 2D sensor readings, or reconstructing scenes from 3D scans. In this paper, we introduce a learned, data-driven deep density estimation (DDE) to infer PDFs in an accurate and efficient manner, while being independent of domain dimensionality or sample size. Furthermore, we do not require access to the original PDF during estimation, neither in parametric form, nor as priors, or in the form of many samples. This is enabled by training an unstructured convolutional neural network on an infinite stream of synthetic PDFs, as unbound amounts of synthetic training data generalize better across a deck of natural PDFs than any natural finite training data will do. Thus, we hope that our publicly available DDE method will be beneficial in many areas of data analysis, where continuous models are to be estimated from discrete observations.

An Introduction to Statistical Methods and Data Analysis

Technometrics ◽  
1994 ◽  
Vol 36 (3) ◽  
pp. 332
Author(s):  
Eric R. Ziegel ◽  
Lyman Ott
Keyword(s):  
Data Analysis ◽  
Statistical Methods

scholarly journals Distinguishing different modes of growth using single-cell data

eLife ◽  
2021 ◽  
Vol 10 ◽  
Author(s):  
Prathitha Kar ◽  
Sriram Tiruvadi-Krishnan ◽  
Jaana Männik ◽  
Jaan Männik ◽  
Ariel Amir
Keyword(s):  
Data Analysis ◽  
Single Cell ◽  
Statistical Methods ◽  
Synthetic Data ◽  
Cellular Growth ◽  
Biological Mechanisms ◽  
E Coli ◽  
High Throughput Data ◽  
Consistent Method ◽  
Cell Data

Collection of high-throughput data has become prevalent in biology. Large datasets allow the use of statistical constructs such as binning and linear regression to quantify relationships between variables and hypothesize underlying biological mechanisms based on it. We discuss several such examples in relation to single-cell data and cellular growth. In particular, we show instances where what appears to be ordinary use of these statistical methods leads to incorrect conclusions such as growth being non-exponential as opposed to exponential and vice versa. We propose that the data analysis and its interpretation should be done in the context of a generative model, if possible. In this way, the statistical methods can be validated either analytically or against synthetic data generated via the use of the model, leading to a consistent method for inferring biological mechanisms from data. On applying the validated methods of data analysis to infer cellular growth on our experimental data, we find the growth of length in E. coli to be non-exponential. Our analysis shows that in the later stages of the cell cycle the growth rate is faster than exponential.

scholarly journals Zmiany wielkości produkcji wieprzowiny i jej struktury w Unii Europejskiej ze szczególnym uwzględnieniem pozycji krajów przyjętych po 2004 r.

2017 ◽  
Vol 17(32) (2) ◽  
pp. 166-175
Author(s):  
Anna Olszańska
Keyword(s):  
European Union ◽  
Data Analysis ◽  
Statistical Methods ◽  
General Trend ◽  
Downward Trend ◽  
The European Union ◽  
Agricultural Producers ◽  
Pork Production ◽  
Production Growth ◽  
The Eu

The so-called "big enlargement" of the European Union in 2004 triggered many changes in the functioning of individual agricultural markets. They concerned agricultural producers, processors and distributors from new but also old members of the EU. The aim of the study is to analyze changes in volume and structure in pig production in EU with particular focus on changes in the position of countries which joined the EU after 2004. The analysis covered the years 2005-2016. Statistical materials from Eurostat database were used. The basic statistical methods of data analysis were used in the study. In the analyzed years, with the general trend of pork production growth in the EU, there have been significant changes in its size in individual countries. There has been a significant increase in production in so-called old EU countries. The main beneficiaries of the in the pork market in the EU area were livestock producers and processors from Germany and Spain. In the countries which joined the EU after 2004, there has generally been a downward trend in volume of production, with the largest declines in most countries observed in 2009.

scholarly journals Analisis Peluang terhadap Penilaian Kinerja Pegawai Menggunakan Metode Regresi Linier Berganda dengan SPSS

2021 ◽  
Vol 20 (2) ◽  
pp. 69
Author(s):  
Billy Nugraha ◽  
Wahyudin Wahyudin ◽  
Fahriza Nurul Azizah
Keyword(s):  
Data Analysis ◽  
Linear Regression ◽  
Human Resources ◽  
Multiple Linear Regression ◽  
Human Resource Development ◽  
Human Resource ◽  
Statistical Methods ◽  
Sampling Technique ◽  
Significance Testing ◽  
Independent Variables

<p class="Abstrak">Research on human resource development have been carried out. With the aim of can be used as parameters to create the development of quality human resources. This research aims to know the influence of opportunities on the assessment of the performance of employees. Opportunities under study is divided into three indicators, namely the environment, the rules and colleagues. Sampling technique in this study using a sampling of saturated. The technique of data analysis was conducted gradually, starting from the editing, coding, scoring and tabulation. In addition, using a likert scale developed by Ransis Likert. While for the development of research using statistical methods, it is necessary to qualify the classical assumption test before the test is conducted multiple linear regression. It aims to determine how much significance of significance testing. The results from the hypothesis t, there is on the value t<sub>count</sub> for the partial (sequential) starting from X<sub>1</sub> = 2,639, X<sub>2</sub> = 3,379 and X<sub>3</sub> = 2,210. In addition, the results of the hypothesis F, contained in the value of F<sub>count</sub> simultaneously (together) was 12,597. While the value of R Square (R<sup>2</sup>) of 0,282, if then the result of 28.2%. It can be concluded from the three independent variables affect the dependent variable by 28,2%.</p>

scholarly journals Uses of milk in sweetmeat shops and consumer preferences to milk products at Mymensingh municipality in Bangladesh

2016 ◽  
Vol 2 (2) ◽  
pp. 266-273
Author(s):  
ABM Kawsar Ahmed ◽  
Md Rezwanul Habib ◽  
Samia Afrin ◽  
Mohammad Ashiqul Islam ◽  
Md Harun Ur Rashid
Keyword(s):  
Data Analysis ◽  
Shelf Life ◽  
Distribution Pattern ◽  
Statistical Methods ◽  
Consumer Preferences ◽  
Raw Milk ◽  
Milk Products ◽  
Whole Milk ◽  
Significant Difference ◽  
Research Findings

The work has been designed to investigate the utilization of milk for consumption of fluid milk and milk products, their distribution pattern, pricing, shelf life and consumer’s preference of Mymensingh municipality in Bangladesh. The study was based on milk and milk products and data were collected from the selected sweetmeat shops by direct interview, of which 20 samples were collected from sweetmeat shops and 7 from goalas. Both tabular and statistical methods were used for collected data analysis. Shopkeepers of different sweetmeat shops received raw milk from farmers (52.6%) and goalas (47.4%) and the highest amount of whole milk was required in per unit production of rasomalai (21%) and ghee (18%) whereas the lowest amount in chomchom (9%). Milk products prices were not remained same throughout the year in this municipality due to fluctuation of raw milk availability and their price. Eid, Puja festivals and other educational activities results that may increase milk products selling especially rasogolla and kalojam. Research findings also showed non-significant difference in case of pricing, distribution pattern, shelf life and selling of milk and milk products following sweetmeats.Asian J. Med. Biol. Res. June 2016, 2(2): 266-273

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