Non-parametric modeling

Part 1 book "Biostatistics - A methodology for the health sciences" includes content: Introduction to biostatistics; biostatistical design of medical studies; descriptive statistics; statistical inference - populations and samples; one and two sample inference; counting data; categorical data - contingency tables; nonparametric, distribution free, and permutation models - robust procedures; association and prediction - linear models with one predictor variable; analysis of variance.

435p muasambanhan06 03-02-2024 1 1   Download

Ebook "Introduction to statistical pattern recognition" includes content: Introduction, random vectors and their properties, hypothesis testing, parametric classifiers, parameter estimation, nonparametric density estimation, nonparametric classification and error estimation, feature extraction and linear mapping for signal representation, feature extraction and linear mapping for classification, clustering.

616p haojiubujain07 20-09-2023 5 3   Download

Continued part 1, part 2 of ebook "Statistics and data analysis for financial engineering with R examples" provides readers with contents including: time series models basics; time series models further topics; GARCH models; cointegration; portfolio selection; the capital asset pricing model; factor models and principal components; risk management; bayesian data analysis and MCMC; nonparametric regression and splines;...

407p thamnhuocgiai 24-09-2023 7 4   Download

Continued part 1, part 2 of ebook "Introduction to mathematical statistics (Eighth edition)" provides readers with contents including: chapter 5 - consistency and limiting distributions; chapter 6 - maximum likelihood methods; chapter 7 - sufficiency; chapter 8 - optimal tests of hypotheses; chapter 9 - inferences about normal linear models; chapter 10 - nonparametric and robust statistics; chapter 11 - bayesian statistics;...

426p hanlinhchi 29-08-2023 6 3   Download

Continued part 1, part 2 of ebook "Bayesian and frequentist regression methods" has presents the following content: dependent data; linear models; general regression models; nonparametric modeling; preliminaries for nonparametric regression; spline and kernel methods; nonparametric regression with multiple predictors; appendices and differentiation of matrix expressions; matrix results;...

335p dieptieuung 20-07-2023 4 3   Download

Ebook Introduction to mathematical statistics (4th edition): Part 2 includes the following content: Chapter 6 maximum likelihood methods, chapter 7 sufficiency, chapter 8 optimal tests of hypotheses, chapter 9 inferences about normal linear models, chapter 10 nonparametric and robust statistics, chapter 11 bayesian statistics.

120p haojiubujain01 24-06-2023 7 4   Download

Continued part 1, part 2 of ebook "Statistics for management and economics" provide readers with content about: inference about comparing two populations; analysis of variance; chi-squared tests; simple linear regression and correlation; multiple regression; model building; nonparametric statistics; time-series analysis and forecasting; statistical process control; decision analysis;...

545p damtuyetha 16-02-2023 2 1   Download

Continued part 1, part 2 of ebook "Business statistics: For contemporary decision making" provide readers with content about: regression analysis and forecasting; simple regression analysis and correlation; multiple regression analysis; building multiple regression models; time-series forecasting and index numbers; nonparametric statistics and quality; analysis of categorical data; nonparametric statistics; statistical quality control;...

414p damtuyetha 16-02-2023 4 1   Download

(BQ) Ebook Probability and statistics for engineers and scientists (Ninth edition): Part 2 presents the following content: Simple linear regression and correlation, multiple linear regression and certain nonlinear regression models, one-factor experiments: general, factorial experiments (two or more factors), 2k factorial experiments and fractions, nonparametric statistics, statistical quality control, bayesian statistics, Appendix A: statistical tables and proofs, Appendix B: answers to odd-numbered non-review exercises.

403p runordie6 10-08-2022 7 4   Download

The aim of this study was to investigate the biodiversity and structure of the Carabidae community living at the edges of a Ramsar wetland in northeastern Algeria, as well as to analyze the effect of environmental variables on this Carabidae community. The study site included two stations (T1, T2). From November 2016 to October 2017, the carabidofauna was sampled fortnightly using pitfall traps. The structure and diversity of the beetle community were measured using nonparametric indices, i.e. species richness, diversity indices, accumulation curves, and similarity analysis.

14p dolomite36 30-12-2021 10 0   Download

This study aimed to obtain information on yield potential, adaptability, and stability of superior lines resulting from inbred landraces with superior varieties. These lines are recommended to be widely adapted to the environment of rainfed lowland irrigated rice and dry land as candidates for new varieties.

9p schindler 30-12-2021 7 0   Download

In this paper, we study convergence in probability for the estimator of nonparametric regression model based on pairwise independent errors with heavy tails. Firstly, we investigate laws of large numbers for sequences of pairwise independent random variables with heavy tails. By applying this result, we investigate convergence in probability for the estimator of nonparametric regression model. Simulations to study the numerical performance of the consistency for the nearest neighbor weight function estimator in nonparametric regression model are given.

7p nguaconbaynhay12 01-06-2021 5 1   Download

Forecasting the hourly electricity spot price plays a crucial role for agents involved in energy day-ahead markets. However, traditional time series processes used for this issue model each hour separately not taking into account the intraday energy market microstructure information. In this paper, we appeal to a Functional Data Analysis (FDA) viewpoint that allows modeling and forecasting the intraday electricity spot price of the Colombian Electricity Market.

8p caygaocaolon11 18-04-2021 19 1   Download

RNA-Seq technology has been used widely in transcriptome study, and one of the most important applications is to estimate the expression level of genes and their alternative splicing isoforms. There have been several algorithms published to estimate the expression based on different models.

7p viwyoming2711 16-12-2020 11 1   Download

Mass spectrometry-based metabolomic analysis depends upon the identification of spectral peaks by their mass and retention time. Statistical analysis that follows the identification currently relies on one main peak of each compound.

11p vikentucky2711 26-11-2020 15 1   Download

The nonparametric trend test (NPT) is well suitable for identifying the genetic variants associated with quantitative traits when the trait values do not satisfy the normal distribution assumption. If the genetic model, defined according to the mode of inheritance, is known, the NPT derived under the given genetic model is optimal. However, in practice, the genetic model is often unknown beforehand.

9p vioklahoma2711 19-11-2020 9 1   Download

Unsupervised clustering represents one of the most widely applied methods in analysis of highthroughput ‘omics data. A variety of unsupervised model-based or parametric clustering methods and nonparametric clustering methods have been proposed for RNA-seq count data, most of which perform well for large samples, e.g. N ≥ 500.

10p vicoachella2711 27-10-2020 11 0   Download

Traditional econometric modelling typically follows the idea that market returns follow a normal distribution. However, the concept of tail risk indicates that the distribution of returns is not normal, but skewed and has heavy tails. Thus, a heavy-tailed distribution, which accurately estimates the tail risk, would significantly improve quantitative risk management practice. In this paper, we compare four widely used heavy-tailed distributions using the S&P 500 daily returns.

11p nguyenanhtuan_qb 09-07-2020 14 2   Download

Accurate forecasting of Prices and Arrivals of Black pepper is vital for planning and policy purposes. An attempt is made here for modeling and forecasting of Prices and Arrivals of Black pepper for Bengaluru and Somwarpet markets time-series data by using the promising nonparametric methodology of Wavelet analysis in frequency domain. Maximal overlap discrete wavelet transform (MODWT) which, unlike discrete wavelet transform (DWT), does not require the number of data points to be a power of two is employed.

11p angicungduoc4 26-04-2020 27 1   Download

The present study is an attempt to find past trends of apple in Jammu and Kashmir using parametric, nonparametric and semi-parametric regression methods. The performance of each method is compared using higher values of R2 and lower values of residual criteria. It is found that the nonparametric/semi-parametric regression comes out to be good fit for trends in apple production in comparison to the parametric regression.

10p nguathienthan4 18-04-2020 18 2   Download