View source for EDA-MOD-Nonlinear

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Nonlinear regression
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<b>Keywords:</b>&nbsp;
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== Abstract ==
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(Draft only: edit during development) Non-linear models (non-linear linear regression) for data exploration and prediction with R.
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== This unit ... ==
=== Prerequisites ===
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*[[EDA-MOD-Concepts|EDA-MOD-Concepts (Concepts of Statistical Modelling)]]

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=== Objectives ===
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=== Outcomes ===
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=== Deliverables ===
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*<b>Time management</b>: Before you begin, estimate how long it will take you to complete this unit. Then, record in your course journal: the number of hours you estimated, the number of hours you worked on the unit, and the amount of time that passed between start and completion of this unit.
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*<b>Journal</b>: Document your progress in your [[FND-Journal|Course Journal]]. Some tasks may ask you to include specific items in your journal. Don't overlook these.
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*<b>Insights</b>: If you find something particularly noteworthy about this unit, make a note in your [[ABC-Insights|'''insights!''' page]].

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=== Evaluation ===
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<b>Evaluation: NA</b><br />
:This unit is not evaluated for course marks.

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== Contents ==
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== Further reading, links and resources ==
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<div class="reference-box">[http://www.ncbi.nlm.nih.gov]</div>
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== Notes ==
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== Self-evaluation ==
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<b>If in doubt, ask!</b> If anything about this learning unit is not clear to you, do not proceed blindly but ask for clarification. Post your question on the course mailing list: others are likely to have similar problems. Or send an email to your instructor.

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<div class="about">
<b>About ... </b><br />
&nbsp;<br />
<b>Author:</b><br />
:NN <email@host>
<b>Created:</b><br />
:2017-09-17
<b>Modified:</b><br />
:2017-09-18
<b>Version:</b><br />
:0.1
<b>Version history:</b><br />
*0.1 First stub
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[[Category:BCB410-units]]
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