Maximum likelihood method

Part 1 of ebook "Statistics and analysis of scientific data (Second edition)" provides readers with contents including: Chapter 1 - Theory of probability; Chapter 2 - Random variables and their distributions; Chapter 3 - Three fundamental distributions - binomial, Gaussian, and poisson; Chapter 4 - Functions of random variables and error propagation; Chapter 5 - Maximum likelihood and other methods to estimate variables; Chapter 6 - Mean, median, and average values of variables; Chapter 7 - Hypothesis testing and statistics;...

158p daonhiennhien 03-07-2024 4 1   Download

Part 2 of ebook "Statistics and analysis of scientific data (Second edition)" provides readers with contents including: Chapter 8 - Maximum likelihood methods for two-variable datasets; Chapter 9 - Multi-variable regression; Chapter 10 - Goodness of fit and parameter uncertainty; Chapter 11 - Systematic errors and intrinsic scatter; Chapter 12 - Fitting two-variable datasets with bivariate errors; Chapter 13 - Model comparison; Chapter 14 - Monte Carlo methods; Chapter 15 - Introduction to Markov Chains; Chapter 16 - Monte Carlo Markov Chains;...

165p daonhiennhien 03-07-2024 1 1   Download

With the aim of inferring phylogenetic relationships among 86 species (including 45 species from Vietnam) mostly of the subfamily Convallarioideae (=Nolinoideae) (Asparagaceae sensu APG IV), we analyzed their chloroplast DNA sequences (rbcL and trnL-F) by both Bayesian inference (BI) and maximum likelihood (ML) methods. Our dataset included six of the seven tribes classified in this subfamily; Convallarieae, Dracaeneae, Liriopeae Nolineae, Polygonateae and Rusceae (Eriospermeae not examined).

17p dianmotminh02 03-05-2024 3 2   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

This study investigates the relationship between AOD variation and different land use/land cover (LULC) types. These LULC types were first classified from Landsat 9 images using the maximum likelihood classification (MLC) method. The AOD variation for each LULC type acquired from MODIS imagery was then extracted using the mask method.

12p viengels 25-08-2023 4 3   Download

Ebook Econometric analysis (Fifth edition): Part 2 includes contents: Chapter 15 simultaneous-equations models, chapter 16 estimation frameworks in econometrics, chapter 17 maximum likelihood estimation, chapter 18 the generalized method of moments, chapter 19 models with lagged variables, chapter 20 time-series models, chapter 21 models for discrete choice, chapter 22 limited dependent variable and duration models.

425p haojiubujain03 24-07-2023 7 4   Download

Part 2 book "Econometric analysis" includes content: Simultaneous-equations models, estimation frameworks in econometrics, maximum likelihood estimation, the generalized method of moments, models with lagged variables, models for discrete choice, limited dependent variable and duration models, time-series models.

425p oursky01 24-07-2023 7 4   Download

Ebook A modern introduction to probability and statistics: Understanding why and how - Part 1 presents the following content: Chapter 17 basic statistical models, chapter 18 the bootstrap, chapter 19 unbiased estimators, chapter 20 efficiency and mean squared error, chapter 21 maximum likelihood, chapter 22 the method of least squares, chapter 23 confidence intervals for the mean, chapter 24 more on confidence intervals, chapter 25 testing hypotheses: essentials, chapter 26 testing hypotheses: elaboration, chapter 27 the t-test, chapter 28 comparing two samples.

233p haojiubujain02 03-07-2023 2 2   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

The phylogenetic relationship of 83 taxa of Santalaceae s.l. was reconstructed based on the molecular data sets including the nuclear ribosomal (small and large subunit rDNA) and the chloroplast rbcL, matK, and trnL-F regions. The Maximum likelihood (ML) and Bayesian inference (BI) methods were used to build the phylogenetic trees.

8p viellenkullman 13-05-2022 6 1   Download

Ablepharus Lichtenstein, 1823, which includes ten species, is distributed in eastern Europe and Asia. Four species are recorded in Turkey: A. kitaibelii, A. chernovi, A. bivittatus, and A. budaki. After molecular and morphological studies in Anatolia, the phylogenetic relationship of the genus is still very complicated. Here, we investigate the taxonomic status of Ablepharus in Anatolia using morphological and molecular methods. The genetic structure of Ablepharus populations in Anatolia was analyzed using both the nuclear (CMOS) and mitochondrial (cyt b and COI) gene regions.

12p dolomite36 30-12-2021 16 1   Download

The codling moth (Cydia pomonella L., Lepidoptera: Tortricidae) is a well-known pest worldwide and was first reported in 1952 in Turkey. It is traditionally controlled with several pesticide applications during each apple production season. The genetic diversity of codling moths was investigated in this study, based on the partial mitochondrial cytochrome oxidase subunite I gene. Twenty-two haplotypes from 9 populations were studied. The results showed an average haplotype and nucleotide diversity of 0.835 and 0.571, respectively.

10p dolomite36 30-12-2021 4 0   Download

In this paper, we review state-ofthe-art computational methods to estimate amino acid substitution models from large datasets. We also describe a comprehensive pipeline to practically estimate amino acid models from whole genome datasets. Finally, we apply amino acid substitution models to build phylogenomic trees from bird and plant genome datasets. We compare our newly reconstructed phylogenomic trees and published ones and discuss new findings.

13p spiritedaway36 25-11-2021 6 1   Download

Gene order changes, under rearrangements, insertions, deletions and duplications, have been used as a new type of data source for phylogenetic reconstruction. Because these changes are rare compared to sequence mutations, they allow the inference of phylogeny further back in evolutionary time. There exist many computational methods for the reconstruction of gene-order phylogenies, including widely used maximum parsimonious methods and maximum likelihood methods.

8p vilarryellison 29-10-2021 11 0   Download

The purpose of this paper is to forecast monthly gasoline prices in Jordan by applying Gaussian process regression on monthly prices of two types of gasoline (octane-90 and octane-95) during the period January 2008–December 2019. Accurately predicting gasoline prices have several fiscal policy implications concerning fuel subsidies and taxes. Also, they affect the consumption and the production of decisions. Moreover, they are crucial for designing and analyzing environmental policies.

8p caygaocaolon11 18-04-2021 10 1   Download

We analyze phylogenetic tree building methods from molecular sequences (PTMS). These are methods which base their construction solely on sequences, coding DNA or amino acids.

23p viwyoming2711 16-12-2020 12 1   Download

Parsimony and maximum likelihood methods of phylogenetic tree estimation and parsimony methods for genome rearrangements are central to the study of genome evolution yet to date they have largely been pursued in isolation.

31p vikentucky2711 26-11-2020 13 1   Download

Amino acid replacement rate matrices are a crucial component of many protein analysis systems such as sequence similarity search, sequence alignment, and phylogenetic inference. Ideally, the rate matrix reflects the mutational behavior of the actual data under study; however, estimating amino acid replacement rate matrices requires large protein alignments and is computationally expensive and complex.

10p vikentucky2711 26-11-2020 8 1   Download

Estimation of individual ancestry from genetic data is useful for the analysis of disease association studies, understanding human population history and interpreting personal genomic variation. New, computationally efficient methods are needed for ancestry inference that can effectively utilize existing information about allele frequencies associated with different human populations and can work directly with DNA sequence reads.

11p vikentucky2711 26-11-2020 15 1   Download

Biological/genetic data is a complex mix of various forms or topologies which makes it quite difficult to analyze. An abundance of such data in this modern era requires the development of sophisticated statistical methods to analyze it in a reasonable amount of time.

14p vioklahoma2711 19-11-2020 10 1   Download