Five keys to estimating - Project Management Institute
2008年10月19日 · Projects that successfully meet planned targets are those that often began with estimates that accurately reflected the reality involved in realizing the project. This paper examines a process for developing accurate project estimates. In doing so, it overviews the significance of accurately estimating project costs, schedules, and activities. It discusses how project managers can use a work ...
Project Estimation - Go Parametric to Reduce "Hectic"
2012年10月23日 · It overviews why making the estimation process transparent is a good idea. It then examines how to structure the estimation model to get increased accuracy from minimal inputs. The paper also explores using an estimation model to enrich your project management capabilities and drive fact based conversations with project stakeholders. The paper
Bring certainty in agile sprint planning through estimation
2015年10月10日 · Agile estimation remains a gray area for most project managers, with improper estimation being the root cause of failure in most agile projects. This paper provides an overview of Tata Consultancy Services' patented agile SPACE estimation model and describes how the model addresses issues involving predictable estimates and proper planning, as well as assistance with performance tracking and ...
Estimation as a capability: The business case for estimation …
2014年10月26日 · Goal setting: Define the estimation short-term and long-term goals and objectives for the organization and obtain buy-in across the appropriate levels of leadership. The goals need to directly support the vision statements. Tailor model: Tailor the estimation maturity model parameters to the organization's key success criteria.
What is the difference between estimation and prediction?
2018年9月15日 · Estimation is the calibration of your probabilistic model using data ("learning" in the AI terminology). Prediction is the "guessing" of a future observation. Assuming this "guessing" is based on past data- this might be a case of estimation; such as the prediction of the height of the next person you are about to meet using an estimate of the ...
machine learning - Classifier vs model vs estimator - Cross Validated
In density estimation we may not even have an assumption about the function but we will attempt to estimate the function regardless. Once we have an estimation we may have at our disposal a model. The estimator then would be the method of generating estimations, for example the method of maximum likelihood.
Example of estimation vs. calibration - Cross Validated
2011年10月27日 · Model estimation is the process of picking the best (according to some metric) kind and structure of model. Estimation may include calibration. Calibration is the process of finding the coefficients that enable a model (the kind and structure of which is already determined) to most closely (according to some metric) reflect a particular known ...
When to use generalized estimating equations vs. mixed effects …
Note that in the linear model, (that is, $\psi(x) = x$), the equality does hold, so they are equivalent. Edit 2: It is also worth noting that the "robust" sandwich-type standard errors produced by a GEE model provide valid asymptotic confidence intervals (e.g. they actually cover 95% of the time) even if the correlation structure specified in ...
Estimating ARCH model using ML or OLS - Cross Validated
2015年6月9日 · During the estimation of an ARCH model the $\sigma^2_t$'s are estimated together with the model parameters. (Otherwise it could be difficult to get the perfect fit assumed by the model.) In general, $\sigma^2_t$ (or $\sigma^2$) are never observed, there can only be better or worse proxies for them. $\endgroup$ –
The mindset behind estimating and planning for agile
Without some form of reasonable estimation, many projects would be too risky to attempt or simply fail altogether. This paper begins by examining two primary work types: knowledge work and task work, and addresses projects that incorporate both types. The authors review three estimation techniques that can be applied using agile methods: continuous estimation, estimation in size versus time ...