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Systems Life Cycle Costing: Economic Analysis, Estimation, and Management
12 September 2013

Systems Life Cycle Costing: Economic Analysis, Estimation, and Management

Systems Life Cycle Costing: Economic Analysis, Estimation, and Management
English | 316 pages | ISBN-10: 1439828911 | PDF | 7.51 MB

The 123s of ABC in SAP: Using SAP R/3 to Support Activity-Based Costing
5 August 2011

The 123s of ABC in SAP: Using SAP R/3 to Support Activity-Based Costing
The 123s of ABC in SAP: Using SAP R/3 to Support Activity-Based Costing
408 pages | Aug 31 2010 |ISBN:0471397008 | PDF | 5.5 Mb

Given SAP's dominance in the enterprise resource planning (ERP) market, many companies and their managers encounter SAP AG applications in some form or another. Many of these organizations have recognized the value of utilizing Activity-Based Costing/Management concepts to perform more accurate cost assignments or drive performance initiatives. Managers are then faced with trying to determine how Activity-Based Costing can be incorporated into the SAP environment. The 123s of ABC in SAP is the first book of its kind designed to help business managers understand the capabilities of the SAP R/3 business application to support Activity-Based Costing, Management
Pluralsight - Agile Estimation
8 July 2013



Pluralsight - Agile Estimation

Pluralsight - Agile Estimation
English | WMV | 1024x768 | VC-1 20.9 Kbps 15.000 fps | WMA 128 Kbps 44.1 khz | 2 channels | 126 MB

We're agile, so we don't have to estimate and have no deadlines, right? Wrong! This course will dive into the problem with estimation in projects today and then a complete overview of the concept of agile estimation and the notion of re-estimation.
Statistical Signal Processing: Frequency Estimation
23 October 2013

Statistical Signal Processing: Frequency Estimation

Statistical Signal Processing: Frequency Estimation
by Debasis Kundu, Swagata Nandi
English | 2012 | ISBN: 8132206274 | 149 pages | PDF | 1.15 MB

Signal processing may broadly be considered to involve the recovery of information from physical observations. The received signal is usually disturbed by thermal, electrical, atmospheric or intentional interferences. Due to the random nature of the signal, statistical techniques play an important role in analyzing the signal. Statistics is also used in the formulation of the appropriate models to describe the behavior of the system, the development of appropriate techniques for estimation of model parameters and the assessment of the model performances. Statistical signal processing basically refers to the analysis of random signals using appropriate statistical techniques.
Pluralsight - Agile Estimation
2 July 2013

Pluralsight - Agile Estimation

Pluralsight - Agile Estimation
English | WMV | 1024x768 | VC-1 20.9 Kbps 15.000 fps | WMA 128 Kbps 44.1 khz | 2 channels | 126 MB

We’re agile, so we don’t have to estimate and have no deadlines, right? Wrong! This course will dive into the problem with estimation in projects today and then a complete overview of the concept of agile estimation and the notion of re-estimation.
Econometric Modelling with Time Series - Specification, Estimation and Testing
10 August 2014

Econometric Modelling with Time Series - Specification, Estimation and Testing

Econometric Modelling with Time Series - Specification, Estimation and Testing
ISBN: 0521139813 , 0521196604 | 937 pages | PDF | 7,5 MB

This book provides a general framework for specifying, estimating, and testing time series econometric models. Special emphasis is given to estimation by maximum likelihood, but other methods are also discussed, including quasi-maximum likelihood estimation, generalized method of moments estimation, nonparametric estimation, and estimation by simulation
Econometric Modelling with Time Series Specification, Estimation and Testing
3 August 2014

Econometric Modelling with Time Series Specification, Estimation and Testing
Econometric Modelling with Time Series Specification, Estimation and Testing
English | 2012 | ISBN: 0521139813 , 0521196604 | 937 pages | PDF | 7,5 MB

This book provides a general framework for specifying, estimating, and testing time series econometric models. Special emphasis is given to estimation by maximum likelihood, but other methods are also discussed, including quasi-maximum likelihood estimation, generalized method of moments estimation, nonparametric estimation, and estimation by simulation.
Applied Parameter Estimation for Chemical Engineers
16 June 2011

Applied Parameter Estimation for Chemical Engineers
Applied Parameter Estimation for Chemical Engineers
225 pages | Aug 31 2010 |ISBN: 082479561X| PDF | 15.5 Mb

Provides students and practicing engineers with tools that can be used for the solution of parameter estimation problems. The emphasis is on chemical engineering applications and on systems described by nonlinear algebraic and ordinary differential equations. The Gauss- Newton method is featured, but shortcut methods are also presented. Englezos (University of British Columbia) and Kalogerakis (Technical University of Crete) describe how to formulate and solve parameter estimation problems, compute the statistical properties of the parameters, perform model adequacy tests, and design experiments for parameter estimation or model discrimination. The CD-ROM contains Fortran programs for solving estimation problems.
Pluralsight - Best Practices for Project Estimation
9 December 2014

Pluralsight - Best Practices for Project Estimation

Pluralsight - Best Practices for Project Estimation
452MB | 2h 47m | Video: AVC (.mp4) 1024x768 15fps | Audio: AAC 48KHz 2ch
Genre: eLearning | Level: Intermediate | Language: English

Learn the fundamentals, basic tools, and agile techniques that can be used to enhance your project estimation skills.
Power System State Estimation: Theory and Implementation
17 October 2012

Power System State Estimation: Theory and Implementation
Power System State Estimation: Theory and Implementation
Ìàrñål Dåkkår | 2004 | ISBN: 0824755707 9780824755706 | 337 pages | PDF | 5 MB

This reference illustrates the significant role of state estimation in overall energy management—presenting an abundance of examples, models, tables, and guidelines to clearly examine new aspects of state estimation, the testing of network observability, and methods to assure computational efficiency.