Capacity estimation - PowerPoint PPT Presentation

In this course on Bayesian Estimation and Hypothesis Testing for Engineers, various concepts such as point estimation, conditional expectation, Maximum a posteriori estimator, hypothesis testing, and error analysis are covered. Topics include turning conditional PDF/PMF estimates into one number, es

3 views • 16 slides

Dive into Estimation Clipboard 68 and explore new Esti-Mysteries and Number Sense resources for everyday use in the classroom. Discover engaging activities and tools designed by Steve Wyborney to enhance mathematical learning experiences. Watch the instructional video, solve the bear estimation chal

18 views • 4 slides

Project cost estimation involves valuing all monetary aspects necessary for planning, implementing, and monitoring a project. This includes various entrants such as preliminary investigation costs, design fees, construction expenses, and more. The purpose of cost estimation is to determine work volu

2 views • 44 slides

Explore tips for effectively using the Estimation Clipboard in the classroom to engage students in mathematical reasoning and estimation activities. The process involves inviting students to share estimates, encouraging written estimates and discussions, and revealing answers to promote engagement a

3 views • 5 slides

This project focuses on multi-person 3D human pose estimation from monocular images using advanced techniques like HG-RCNN for 2D heatmaps estimation and a shallow 3D pose module for lifting keypoints to 3D space. The approach leverages weak-perspective projection assumptions for global pose approxi

14 views • 8 slides

Dealing with range anxiety in mean estimation involves exploring methods to improve accuracy when estimating the mean value of a random variable based on sampled data. Various techniques such as quantile truncation, quantile estimation, and reducing dynamic range are discussed. The goal is to reduce

4 views • 12 slides

A fun estimation challenge where clues are provided to narrow down the possibilities of the number of blue rocks in a vase. By using critical thinking and estimation skills, participants deduce that there are 65 blue rocks in the vase. Test your estimation abilities with engaging visual clues and de

3 views • 6 slides

The OLYMPEX planning meeting in Seattle on January 22, 2015 discussed the contribution of polarimetric S-band radar in rain estimation systems targeted by OLYMPEX. The use of specific differential phase (Kdp) helps in minimizing assumptions about drop size distribution, convective/stratiform distinc

2 views • 15 slides

Understand Enrico Fermi's approach to problem-solving through estimation in science as demonstrated by Fermi Problems. These problems involve making educated guesses to reach approximate answers, fostering creativity, critical thinking, and estimation skills. Explore the application of Fermi Problem

2 views • 23 slides

The new regulation in Portugal brings significant changes in capacity booking and trading to promote convergence with CAM NC and enable a secondary market. Major changes include ex-ante payment of capacity rights, capacity allocation via a booking platform, and enhancement of liquidity in the second

1 views • 13 slides

Explore the foundations of parameter estimation and decision theory in machine learning through topics such as frequentist estimation, properties of estimators, Bayesian parameter estimation, and maximum likelihood estimator. Understand concepts like consistency, bias-variance trade-off, and the Bay

1 views • 15 slides

Explore key principles and techniques for accurate cost estimation in software development projects. Discover the importance of the 5WHH principle, management spectrum, critical practices, resource estimation, estimation options, and decomposition techniques for improved project planning. Learn abou

3 views • 40 slides

Statistical inference involves acquiring information and drawing conclusions about populations from samples using estimation and hypothesis testing. Estimation determines population parameter values based on sample statistics, utilizing point and interval estimators. Interval estimates, known as con

3 views • 41 slides

Reviewing past methods and introducing new tools for radar rainfall estimation in tropical cyclones. Discusses advancements in Dual Polarization rainfall estimation and NSSL's National Mosaic & Multi-Sensor Quantitative Precipitation Estimation. Includes insights on reflectivity-to-rainfall relation

3 views • 28 slides

Explore the fundamental concepts of statistical estimation in machine learning, including Maximum Likelihood Estimation (MLE), Maximum A Posteriori (MAP), and Bayesian estimation. Learn about key topics such as probabilities, interpreting probabilities from different perspectives, marginal distribut

8 views • 23 slides

This detailed guide outlines the process of capacity planning and estimation units in Jira alignment, covering steps from entering demand to capturing estimates and planning sprints. It explains where and how to enter capacity and demand, who captures estimates, and the purpose of different estimati

5 views • 4 slides

This presentation by Prof. Dr. Jos LT Blank delves into the application of two-stage local linear least squares estimation in Dutch secondary education. It discusses the pros and cons of stochastic frontier analysis (SFA) and data envelopment analysis (DEA), recent developments in local estimation t

2 views • 24 slides

Explore advanced gaze estimation techniques such as Cross-Ratio based trackers, Geometric Models of the Eye, Model-based Gaze Estimation, and more. Learn about their pros and cons, from accurate 3D gaze direction to head pose invariance. Discover the significance of Glint, Pupil, Iris, Sclera, and C

5 views • 40 slides

The Black-Scholes formula, developed by Dr. Fernando Diz, is a widely used model for pricing options. This formula calculates the theoretical price of an option based on various inputs, with volatility being a key factor. Volatility estimation can be done through historical or implied methods, each

4 views • 18 slides

Density-based clustering algorithms like DBSCAN utilize density-estimation techniques to identify clusters based on data density. Density estimation involves constructing estimates of underlying probability density functions using various approaches such as non-parametric methods like Kernel density

3 views • 25 slides

The proposed approach for the STARSHADE DATA CHALLENGE involves three high-level steps focusing on background estimation and removal, transformation of multi-spectral foreground image pixels, and Bayesian inference for planet detection. Findings from background estimation development may lead to rev

3 views • 17 slides

This content delves into the concepts of density estimation in R, comparing parametric methods where a specific form of the density function is assumed known, with non-parametric methods that require no assumption on the distribution's form. Explore topics like maximum likelihood estimation, Bayesia

5 views • 36 slides

This content delves into various pose estimation methods, including the problem definition, linear techniques, iterative techniques, comparisons, implementation issues, and more. It explores the concepts of pose estimation, its applications, and different techniques such as POSIT, Epnp, P3P, P4P, an

4 views • 32 slides

Project estimation is vital for success, involving inputs like human effort, project duration, and costs. Discover the importance of precise estimates and reasons for inaccuracies, along with key estimation techniques. From expert judgment to estimation by analogy, learn how to navigate uncertaintie

3 views • 56 slides

Cost Estimation Office presents the Cost Estimation Workbook (CEWB) for the Winter/Spring 2022 workshop moderated by Mitch Ball and Ray Johnston. The workshop covers the introduction, highlights, inflation exercise, and project tracking using the CEWB. The workbook provides a consistent format for p

2 views • 24 slides

Software project planning involves estimation, scheduling, risk analysis, quality management planning, and change management planning. Estimation is crucial for determining resources, time, and effort needed for a project. Observations on estimation highlight the importance of historical data, exper

0 views • 39 slides

This work delves into Quantum Amplitude Estimation techniques, including classical and quantum solutions, sample averaging, and the use of Grover quantum phase estimation over N samples. It also explores strategies for noisy quantum devices and unlocking new learning rates.

0 views • 21 slides

Explore the Nonpoint Oil and Gas Emission Estimation Tool for the 2017 NEI by Mike Pring, providing valuable insights into emission estimation methods for the oil and gas industry. Access the 2017 tool files, reports, and updates, along with details on emission changes from 2014 to 2017 across diffe

1 views • 8 slides

Explore spatial microsimulation methods for small area estimation in geographical research, focusing on direct survey estimation, conventional SAE approaches, and unconventional SAE approaches like spatial microsimulation. Learn about techniques, challenges, and potential solutions in small area est

3 views • 29 slides

Learn about estimation methods such as Maximum Likelihood and Bayes in the context of probability and statistical models. Understand the process of making inferences about unknown parameters using data samples. Explore techniques like AIC, BIC, and Bayesian Estimation. Enhance your understanding of

4 views • 13 slides

Explore the cutting-edge technology of SuperFine that enables large-scale phylogenetic estimation, emphasizing the importance of phylogeny, DNA sequence evolution, and the application of multiple genes in tree estimation. Understand the significance of the Tree of Life in biology and the evolution o

2 views • 31 slides

Explore the benefits and challenges of 3DIC implementation, including the estimation of power reduction benefits and the need for accurate power estimation tools. Learn about the upper bounds on wirelength reduction and the tight integration of 3D power benefit estimation tools to enhance implementa

3 views • 24 slides

Learn about parameter estimation in probabilistic models using Maximum Likelihood Estimation (MLE) and Maximum A Posteriori (MAP) estimation techniques. Understand how to estimate the bias of a coin by analyzing sequences of coin toss outcomes and incorporating prior distributions for more reliable

3 views • 7 slides

Discover effective strategies for engaging students in mathematical estimation using the Estimation Clipboard tool, with step-by-step guidance on how to facilitate active participation and discussion. Enhance student learning and critical thinking skills in the classroom through fun estimation activ

1 views • 5 slides

This document discusses the proposed two-step reachability estimation approach for mmWave networks, focusing on the benefits it provides and the structure of the estimation process. It emphasizes the importance of initial estimation in the sub-7GHz band followed by a finer estimation in the mmWave b

5 views • 23 slides

Learn about agile estimation methods, common estimation challenges, when to use estimates, and the importance of estimation in decision-making. Discover the value of points over ideal days and how spikes impact project planning.

5 views • 12 slides

Explore innovative approaches to population estimation using administrative data sources and learn about the application of the Dual System Estimation method for accurate results. Discover how to identify and address overcoverage issues in population estimates.

0 views • 26 slides

Explore the two-step reachability estimation approach proposed for IMMW in the IEEE 802.11-25/0300r0 document. Understand the initial estimation in sub-7GHz and subsequent mmWave band estimation using beam training, aiming to enhance reachability while minimizing computational burden. Dive into the

4 views • 16 slides

Engage in a fun estimation activity to guess the number of beach balls in a vase using provided clues. Narrow down possibilities, make estimates, and find the correct answer while developing your estimation skills. Enjoy the challenge and excitement of estimation with beach balls!

1 views • 6 slides

Learn about the principles and methods of Maximum Likelihood Estimation (MLE) for parameter estimation in pattern recognition. Explore the concepts of bias, convergence, and Gaussian examples in MLE. Discover the difference between Maximum Likelihood and Bayesian estimation approaches, and understan

2 views • 17 slides