Maximum likelihood estimate

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

In ebook "Accounting and causal effects: Econometric challenges" we synthesize a rich and vast literature on econometric challenges associated with accounting choices and their causal effects. Identification and estimation of endogenous causal effects is particularly challenging as observable data are rarely directly linked to the causal effect of interest.

486p tuongnhuoclan 28-11-2023 6 3   Download

Part 1 book "Genomic selection in animals" includes content: Historical overview; types of current genetic markers and genotyping methodologies; advanced animal breeding programs prior to genomic selection; economic evaluation of genetic breeding programs; least squares, maximum likelihood, and bayesian parameter estimation.... and other contents.

84p oursky05 20-09-2023 6 2   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

Probability is the bedrock of machine learning. You cannot develop a deep understanding and application of machine learning without it. Cut through the equations, Greek letters, and confusion, and discover the topics in probability that you need to know. Using clear explanations, standard Python libraries, and step-by-step tutorial lessons, you will discover the importance of probability to machine learning, Bayesian probability, entropy, density estimation, maximum likelihood, and much more.

319p viironman 02-06-2023 9 5   Download

Lecture Convex optimization - Chapter: Statistical estimation. This chapter presents the following content: Maximum likelihood estimation, optimal detector design, experiment design. Please refer to the documentation for more details.

15p runthenight09 16-05-2023 6 3   Download

Measures of linkage disequilibrium (LD) play a key role in a wide range of applications from disease association to demographic history estimation. The true population LD cannot be measured directly and instead can only be inferred from genetic samples, which are unavoidably subject to measurement error.

11p vihagrid 30-01-2023 4 3   Download

Part 1 of book "Introduction to machine learning" provide with knowledge about: a taste of machine learning; probability theory; basic algorithms; density estimation; limit theorems; panzer windows; exponential families; maximum likelihood estimation;...

98p britaikridanik 05-07-2022 26 4   Download

Lecture Probability Theory - Lecture 12: Principles of Parameter Estimation. The purpose of this lecture is to illustrate the usefulness of the various concepts introduced and studied in earlier lectures to practical problems of interest. In this context, consider the problem of estimating an unknown parameter of interest from a few of its noisy observations. For example, determining the daily temperature in a city, or the depth of a river at a particular spot, are problems that fall into this category.

19p cucngoainhan0 10-05-2022 9 1   Download

Bài viết trình bày về phương pháp ước lượng hợp lý cực đại-Maximum LikeliHood Estimation (MLE) cho thời gian trễ giữa hai kênh tín hiệu điện cơ theo một mô hình đa thức được chứng minh. Mô phỏng Monte Carlo được thực hiện ở các mức nhiễu khác nhau để đánh giá tác động của nhiễu lên các phương pháp các ước lượng. Ước lượng hợp lý cực đại dẫn đến một bài toán tối ưu, trong bài báo này chúng tôi dùng phương pháp NewTon và phương pháp giả luyện kim cho việc tối ưu hóa.

7p wangziyi_1307 26-04-2022 24 2   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

Mục đích của đề tài là phân tích thực trạng sản xuất và tính toán hiệu quả tài chính của mô hình sản xuất lúa thông thường và mô hình lúa theo hướng hữu cơ tại tỉnh Vĩnh Long. Nghiên cứu sử dụng hàm lợi nhuận biên ngẫu nhiên Cobb-Douglas theo phương pháp ước lượng hợp lý cực đại (Maximum Likelihood Estimation - MLE) nhằm tìm hiểu các nhân tố tác động đến lợi nhuận chuẩn hóa của mô hình sản xuất lúa. Mời các bạn cùng tham khảo!

14p quakhumetmoi 15-09-2021 32 2   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

The study of discrete characters is crucial for the understanding of evolutionary processes. Even though great advances have been made in the analysis of nucleotide sequences, computer programs for non-DNA discrete characters are often dedicated to specific analyses and lack flexibility.

6p vikentucky2711 26-11-2020 15 2   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

Targeted next-generation sequencing (NGS) has been widely used as a cost-effective way to identify the genetic basis of human disorders. Copy number variations (CNVs) contribute significantly to human genomic variability, some of which can lead to disease. However, effective detection of CNVs from targeted capture sequencing data remains challenging.

9p vioklahoma2711 19-11-2020 8 0   Download

The detection of weak signals and selection of single particles from low-contrast micrographs of frozen hydrated biomolecules by cryo-electron microscopy (cryo-EM) represents a major practical bottleneck in cryo-EM data analysis.

17p vicoachella2711 27-10-2020 25 0   Download