Explore the FOCUS-2 Online Career, Major & Education Planning System for self-assessment, major and career exploration, decision-making, and action planning. Learn about the importance of choosing a major, getting an education, and making informed career decisions. Dive into the process of career an

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This succession planning training for supervisors emphasizes the critical task of planning for key role absences within an organization. It delves into the importance of formal succession planning, outlining steps involved, such as identifying high-potential employees, keeping the plan current, and

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Educational planning involves forecasting needs and setting up frameworks for national action. It plays a crucial role in linking education with economic development. Four major approaches to educational planning include Manpower Planning, Social Demand, Rate of Returns, and Social Justice approache

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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

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Practical application of the planning process in different types of exercises, including discussion-based and operations-based exercises. Learn about the progressive exercise planning approach, building block approach, planning meeting timeline review, and the role of planning team members in exerci

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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

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Explore the intricate world of ocular proton therapy treatment planning with Dr. Linda Mortimer, PhD. Discover the fundamental elements of an ocular treatment plan, main goals of treatment planning, an overview of dedicated ocular Treatment Planning Systems (TPS), planning workflows, choice of TPS,

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The background paper explores the relevance of integrated development plans for achieving sustainable local development in Zambia. It highlights weaknesses in national development plans, development coordinating committees at provincial and district levels, and district-level spatial plans. The intr

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Planners play a pivotal role in transactive planning by supporting and engaging with various stakeholders. The population contributes with traditional knowledge, actively participating in the planning process. Transactive planning emphasizes face-to-face interactions and mutual learning, focusing on

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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

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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

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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

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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

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Production planning and control in dairy plant management involve the strategic processes of production, planning, and control to ensure efficient manufacturing operations. Planning is crucial in determining what, how, how much, and where to produce, while control involves monitoring and adjusting p

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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

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Planning in management is a crucial function that involves deciding in advance what needs to be done to achieve organizational goals. It is future-oriented and helps organizations navigate the present while anticipating the future. Various definitions of planning by management experts highlight its

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This content provides insights into an Energy Balance and Planning Models workshop conducted by Gabriel Hernandez, focusing on the planning process, energy planning principles, and integrated energy planning. It covers topics such as defining objectives, collecting information, scenario visualizatio

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Healthcare Business Continuity is crucial for ensuring uninterrupted service delivery during emergencies. This executive briefing delves into the challenges faced by medical facilities during crises, such as Hurricane Sandy, and highlights the importance of robust planning, like in the case of Bon S

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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

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Explore the evolution of planning systems and instruments in Hungary with special reference to EU integration. Discover the varied domestic planning systems within EU traditions and the introduction of diverse instruments from 2002 to 2017, as analyzed by Gza Salamin. Learn about the European Model

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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

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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

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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

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Discover the field of urban and regional planning at UCLA through the MURP program. Explore the interdisciplinary nature of planning education and the unique perspectives of planning faculty. Learn about planning governance organizations such as AICP, PAB, APA, and ACSP. Gain insights into the chall

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Indian Economic Planning has been guided by the implementation of Five Year Plans since the establishment of the Planning Commission in 1950. These plans aimed at economic development, employment generation, self-sufficiency, social welfare, and regional development. While the plans achieved signifi

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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

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Planning and strategic planning play crucial roles in achieving sustainable development goals. This presentation delves into the concepts of planning, strategic planning, sustainable development, the SDGs, types of planning, steps in the strategic planning process, and the importance and challenges

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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

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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-

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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

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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

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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

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Explore the world of planning in AI through various approaches, classical planning, and problem-solving methods. Delve into planning problems such as autonomous vehicle navigation and military operation scheduling. Discover how planning differs from problem-solving and learn about the power of repre

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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

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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

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The Planning Advisory Service (PAS) is a vital resource for local planning authorities, funded by DCLG and established in 2004. This service aims to enhance planning services, drive improvements, and navigate changes within the planning system. PAS supports, promotes, and innovates planning practice

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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

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Strategic Staff Planning involves aligning workforce to future goals through short and long-term approaches. It includes 3 Horizons, Operational Workforce Planning, and Strategic Workforce Planning to ensure capabilities match organizational strategies. The process spans from tactical short-term pla

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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

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Research by Richard Crawley highlights concerns regarding government planning performance targets leading to perverse behavior and the need for a focus on good practices in local planning authorities. The Planning Advisory Service (PAS) since 2009 has been facilitating benchmarking to improve planni

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