'Past data' presentation slideshows

Operations Research First Year Computer

Operations Research First Year Computer. Text Book: Operations Research 8 th Edition Hamdy A. Taha. Course Outline Part1: Deterministic Models Chapter 2: Introduction to Linear Programming 2.1 Introduction. 2.2 Construction of the LP Model. 2.3 Graphical LP Solution.

1.61k views • 85 slides

Value At Risk

759 views • 54 slides

How Do We Know Where, What & How to Improve?

How Do We Know Where, What & How to Improve?. Jennifer Hooks MBA Manager, Performance Improvement Six Sigma Master Black Belt Lean Sensei. Chris Rees, MHSA, MBA Director of Quality and Safety Six Sigma Master Black Belt. Objectives. Overview of Performance Improvement

625 views • 46 slides

Nonlinear Knowledge in Kernel Approximation

Nonlinear Knowledge in Kernel Approximation. Olvi Mangasarian UW Madison & UCSD La Jolla Edward Wild UW Madison. Objectives. Primary objective : Incorporate prior knowledge over completely arbitrary sets into function approximation without transforming (kernelizing) the knowledge

513 views • 31 slides

Database as a Service: Delivering Database as a Service

Database as a Service: Delivering Database as a Service. Rajneesh Tiwary Principal Sales Consultant. Social. Mobile. Complete. Agenda. Current challenges Delivering dbaas Lifecycle-driven approach References and Case Studies.

491 views • 30 slides

Development of the Controlled Assessment task for 2015

375 views • 27 slides

DEMAND FORECASTING

DEMAND FORECASTING. DEMAND FORECASTING. Demand forecasting means estimation of the demand for the good in the forecast period. It is a process of estimating a future event by casting forward past data.

3.34k views • 26 slides

CS653 Information Retrieval

CS653 Information Retrieval. Overview. Outline. Topics to be covered in this class:. Query Suggestions. Question Answering. Recommendation Systems. Other possible topics of interest in IR. Social Search. Query Suggestions. Goal

397 views • 26 slides

Effort Estimation

Effort Estimation. In WBS we said that one can estimate effort ( micro-level ) but needed to know: Size of the deliverable Productivity of resource in producing that deliverable. Effort = Size / Productivity e.g. Effort = 500 loc / (100 loc/person-day) = 5 person-days.

348 views • 24 slides

Chapter

Chapter. 11. Credit Risk: Individual Loan Risk. Overview. This chapter discusses types of loans, and the analysis and measurement of credit risk on individual loans. This is important for purposes of: Pricing loans and bonds Setting limits on credit risk exposure. Credit Quality Problems.

429 views • 24 slides

Home Page The presentation will dissect each section of the Home Page.

Home Page The presentation will dissect each section of the Home Page. Incidents. When a corrective action is needed for a low or high temperature or a No answer when a Yes is required, the form is recorded as an Incident.

393 views • 23 slides

Redesign, Remodel, Revamp: Constructing a New Cohort Review Process in Washington State

Redesign, Remodel, Revamp: Constructing a New Cohort Review Process in Washington State. Sherry Carlson & Sheanne Allen Washington State Department of Health- TB Program September 2012. Objectives. Describe how to simplify and even eliminate forms for cohort review

337 views • 23 slides

Google Adwords

Google Adwords. 2 nd October 2013. Contents. Why Adwords ? Budgeting Keywords & Adverts Measurement Google Grant. Why Adwords ?. Why you are using Adwords.

533 views • 17 slides

374 views • 17 slides

Enterprise Information Security ... a Different view

265 views • 15 slides

Chapter 8

Chapter 8. Confidence Interval Estimation. 8.1 Confidence Interval Estimation of the Mean . This section deals with the case of known ?. There are two kinds of estimation: point estimation (we prefer to use unbiased estimators)

275 views • 12 slides

Chapter 7: Forecasting

Chapter 7: Forecasting. Quantitative Decision Making with Spreadsheet Applications 7 th ed. By Lapin and Whisler Sections 7.1-7.2. Three broad categories. Forecasting Using Past Data Forecasting Using Causal Models Forecasting Using Judgement. Time Series.

346 views • 11 slides

COLLECTION OF DATA

COLLECTION OF DATA. Direct observation Interview Experiment Questionnaire. DIRECT OBSERVATION. A ccurate Reliable Limited ambiguity Expensive. PERSONAL INTERVIEW. Identity of respondent is known Sincerity of answer may be checked

327 views • 8 slides

Probability & Statistics Review

Probability & Statistics Review. Holt. 11-1 Lesson. 1. Six different books will be displayed in the library window. How many different arrangements are there? 2. The code for a lock consists of 5 digits. The last number cannot be 0 or 1. How many different codes are possible?.

233 views • 7 slides

5. Time series 5.1 Nature of the data

5. Time series 5.1 Nature of the data Now ? temporal order , past data can affect future data (but not inversely) Randomness in C.S.: ? samples ? ? estimations/LS r.v. Randomness in T.S.: succession of indexed r.v. (t) ? stochastic process

153 views • 5 slides