Highlighting the key points discussed during the JSM 2023 Council of Chapters (COC) Business Meeting, including introductions, updates, and upcoming elections for COCGB positions in 2025. The meeting also touched upon the roles of current and future COCGB members, nominations committees, and opportu

1 views • 39 slides

Statistics, as Florence Nightingale famously said, is the most important science in the world. In this chapter on logistic regression, we delve into model selection, interpretation of parameters, and methods such as forward selection, backward elimination, and stepwise selection. Guidelines for sele

4 views • 33 slides

Explore the fundamentals of machine learning through concepts such as Deterministic Learning, Linear Classification, and Logistic Regression. Gain insights on linear hyperplanes, margin computation, and the uniqueness of functions found in logistic regression. Enhance your understanding of these key

6 views • 62 slides

Explore the vital components of logistics, including transportation, handling, warehousing, and information flow. Understand the significance of efficient logistics in enhancing a country's export competitiveness and supporting small businesses. Discover major courier and cargo companies operating i

0 views • 34 slides

Explore the world of Binary Logistic Regression with SPSS through an instructional document provided by Karl L. Wuensch of East Carolina University. Understand when to use this regression model, its applications in research involving dichotomous variables, and the iterative maximum likelihood proced

0 views • 87 slides

Explore key discussions from the 13rdERA Multimodal conference Panel III in Hamburg focusing on decarbonising multimodal logistic chains. The panelists, including Nicolas Albrecht from Cargobeamer, Andr Düring from Alstom, and Matthias Knöpling from VTG, shared insights on shifting towards sustain

1 views • 6 slides

Explore the project's goal of examining trends and factors influencing the placement of students with autism and intellectual disability in California over a 5-year period. Data obtained from the California Department of Education underwent complex data organization to build an analyzable dataset. M

1 views • 24 slides

Exploring the proportional odds assumption in ordinal regression, this article discusses testing methods, like the parallel lines test, comparing multinomial and ordinal logistic regression models, and when to use each approach. It explains how violating the assumption may lead to using the multinom

0 views • 13 slides

Exploring the application of multivariate binary logistic regression through an example on factors associated with receiving assistance during childbirth in Ghana. The analysis includes variables such as wealth quintile, number of children, residence, and education level. Results from the regression

0 views • 19 slides

JSM Logistic Services (JLS) is a dynamic logistics company dedicated to providing top-quality services worldwide. With a focus on service excellence and innovation, JLS offers a wide range of logistics solutions including Air & Ocean Forwarding, Multi-Modal Transport, Customs House Brokerage, Wareho

0 views • 16 slides

Item Response Theory (IRT) is a statistical measurement model used to describe the relationship between responses on a given item and the underlying trait being measured. It allows for indirectly measuring unobservable variables using indicators and provides advantages such as independent ability es

2 views • 32 slides

This research explores how logistic firms evolve into humanitarian entities in response to grand challenges like natural disasters and refugee crises. Case studies and data collection methodologies are utilized to understand the transformation process, as seen in examples such as SOS Mediterrane and

0 views • 8 slides

This class summary covers topics such as supervised learning, unsupervised learning, classification, clustering, regression, k-NN models, linear regression, Naive Bayes, logistic regression, and SVM formulations. The content provides insights into key concepts, algorithms, cost functions, learning a

0 views • 39 slides

Siddhi Logistics is a unified cold chain and logistics solution provider founded by industry experts, offering quality-focused services like refrigerated transportation and value-added logistics solutions. They specialize in single-source supply chain solutions, providing refrigerated vehicles with

0 views • 10 slides

This research discusses common approaches in dealing with missing features in classifiers like logistic regression. It compares generative and discriminative models, exploring the idea of training separate models for feature distribution and classification. Expected Prediction is proposed as a princ

1 views • 19 slides

This study examines the relationship between resilience and effective learning in Computer Science education using the Grit Scale and Nicholson McBride Resilience Quotient. Research methods, findings, and implications are presented based on data from a first-year BSc/MComp cohort, with insights into

0 views • 10 slides

gologit2 is an advanced program for estimating generalized logistic regression models, including proportional odds, generalized ordered logit, and partial proportional odds models. It offers features beyond traditional ologit, allowing for less restrictive and more parsimonious modeling of ordinal d

0 views • 27 slides

Binary logistic regression is a valuable tool for studying relationships between categorical variables, such as disease presence, voting intentions, and Likert-scale responses. Unlike linear regression, binary logistic regression ensures predicted values lie between 0 and 1, making it suitable for m

7 views • 17 slides

This content introduces Multinomial Logistic Regression, discussing categorical response variables, the basics of the model, interpretation of parameters, and an example study on economic activity and gender. It covers the extension of binary logistic regression to multiple categories, interpretatio

0 views • 16 slides

This course, led by Geoff Hulten and TAs Alon Milchgrub and Andrew Wei, delves into important machine learning algorithms and model production techniques. Topics covered include logistic regression, feature engineering, decision trees, intelligent user experiences, computer vision basics, neural net

1 views • 10 slides

Binary logistic regression is an essential statistical technique used in research when the dependent variable is dichotomous, such as yes/no outcomes. It overcomes limitations of linear regression, especially when dealing with non-normally distributed variables. Logistic regression is crucial for an

0 views • 20 slides

This content delves into the principles and applications of probabilistic models for binary classification problems, focusing on algorithms and machine learning concepts. It covers topics such as generative models, conditional probabilities, Gaussian distributions, and logistic functions in the cont

0 views • 32 slides

This document showcases the logistics services offered by Aker Custom & Logistic for various locations like Tarragona, Sete, Yalova, Trieste, Cesme, and more. It details special discounts available for DFDS and Ulusoy, with information on freight rates, trailer discounts, and service timings for cus

0 views • 7 slides

Explore the key differences between generative and discriminative models in the realm of machine learning, including their approaches, assumptions, and applications. Delve into topics such as graphical models, logistic regression, probabilistic classifiers, and classification rules to gain insights

0 views • 17 slides

Explore the concept of overdispersion in count and binary data, its causes, consequences, and how to account for it in regression analysis using SAS. Learn about Poisson and binomial distributions, along with common techniques like Poisson regression and logistic regression. Gain insights into handl

0 views • 61 slides

Jordanian micro and small enterprises (MSEs) play a significant role in the economy but face challenges in accessing markets and obtaining finance. A research study was conducted in Jordan to analyze the factors influencing the growth of MSEs, including formality, education level of owners, technolo

0 views • 8 slides

This content focuses on facilitating the preparation of the District Election Management Plan (DEMP) as part of the learning module for Returning Officers (RO) and Assistant Returning Officers (ARO). It covers essential components of the DEMP, major requisite information needed, steps in the prepara

0 views • 35 slides

Explore the vulnerability of machine learning models to adversarial examples, including speculative explanations and the importance of linear behavior. Learn about fast gradient sign methods, adversarial training of deep networks, and overcoming vulnerabilities. Discover how linear perturbations imp

0 views • 37 slides

Utilizing logistic regression, a statistical modeling technique, to predict protection risks on freedom of movement in Afghanistan. The analysis involves exploratory data examination, correlation matrices, and predictor variable assessment to identify factors influencing the outcome variable. Insigh

2 views • 20 slides

Explore the intricacies of logistic regression in cross-level hierarchies through helpful project advice, model graphs, and leftover considerations. Learn about transforming binary responses, interpreting log-odds, and conducting multilevel logistic regression with random intercepts. Dive into real-

0 views • 21 slides

Learn about multinomial logistic regression models with multiple explanatory variables, including model selection, likelihood ratio tests, and Wald tests. Explore an example on the association between economic activity, gender, age, and marital status. Understand the distribution of variables like e

0 views • 17 slides

Multiclass logistic regression extends standard logistic regression to predict outcomes with more than two categories. It includes ordinal logistic regression for hierarchical categories and multinomial logistic regression for non-ordered categories. By fitting separate models for each category, suc

0 views • 23 slides

This content delves into advanced topics in data analysis and machine learning, covering supervised and unsupervised learning, classification, logistic regression, modeling class probabilities, and prediction using logistic functions. It discusses foundational concepts, training data, classification

0 views • 28 slides

Offering bespoke logistic and transport solutions in Brazil since 2015, FOX Brasil specializes in air, land, and sea transportation for a range of industries such as mining, oil and gas, chemical, and more. Services include crating, packing, inventory management, route surveys, and crane hire, along

0 views • 5 slides

Explore the logistic growth equation and its applications in modeling population dynamics. Dive into the concept of sigmoidal growth curves and the logistic model, which reflects population growth with limits. Learn how to calculate population change using the logistic growth equation and understand

0 views • 26 slides

Egypt is a captivating country with a rich history and diverse culture. With over 80 million people, Arabic as its official language, and a focus on agriculture, manufacturing, tourism, and logistic services, Egypt offers a unique blend of tradition and modernity. Explore the beauty of the Nile, ind

0 views • 8 slides

The discussion revolves around classifying spam from ham emails by analyzing word frequencies. Various techniques such as Logistic Regression, Linear Discriminant Analysis, and 10-fold Cross-Validation are employed to achieve this goal. Statistical analysis and machine learning models like LDA and L

0 views • 8 slides

Dive into the complexities of emissions calculations in logistic solutions, emphasizing the importance of making strategic choices to reduce greenhouse gas emissions. Explore topics such as emission factors, management decisions, improvement planning, and training to align with global emission reduc

0 views • 10 slides

In this session, Dr. Daniel Zhao and Dr. Sixia Chen from the Department of Biostatistics and Epidemiology at the College of Public Health, OUHSC, cover topics on linear regression including fitting models, checking results, examining normality, outliers, collinearity, model selection, and comparison

0 views • 44 slides

Explore the key highlights of the JSM 2022 Council of Chapters Business Meeting, including introductions, information from ASA leadership, and updates on COCGB positions. Get insights on upcoming elections, ASA officers, leadership reports, and more. Engage in interactive activities and collaborate

0 views • 34 slides