{"product_id":"b0hcb6ll5f","title":"Mastering Data Analysis with OriginLab: Curve Fitting, Peak Analysis \u0026 Statistics for Graduate and Doctoral Researchers","description":"\u003cp\u003eYour data is real. Is your fit?\u003c\/p\u003e\n\n\u003cp\u003eEvery year, thousands of graduate students and researchers sit down in **OriginPro** for the first time with a spreadsheet of hard-won experimental data and no idea where to begin. Origin's own documentation is thorough but scattered, and generic statistics textbooks teach the math without ever opening the software. **Mastering Data Analysis with OriginLab** closes that gap — a practical, rigorous guide to curve fitting, peak analysis, and statistics in Origin and OriginPro, written for the researcher who needs to move from raw data to a defensible, publication-ready result.\u003c\/p\u003e\n\n\u003cp\u003eThis is not a feature-by-feature software manual. It is a workflow-driven guide built around the questions that actually matter at the bench and in committee meetings: Which test should I run — and why? Is this fit trustworthy, or just a high R²? What does a confidence band actually tell me that a prediction band doesn't? How do I deconvolute overlapping peaks without fooling myself?\u003c\/p\u003e\n\n\u003cp\u003e**Inside, you'll learn how to:**\u003c\/p\u003e\n\n\u003cp\u003e- Run and interpret t-tests, ANOVA with post-hoc comparisons, and normality diagnostics with confidence\u003cbr\u003e\n- Build linear, polynomial, nonlinear, and custom fitting functions — and judge them using residuals, AICc\/BIC, and confidence vs. prediction bands\u003cbr\u003e\n- Fit and deconvolute overlapping peaks with Gaussian, Lorentzian, and Voigt functions for spectroscopy, chromatography, and kinetics data\u003cbr\u003e\n- Use global fitting to analyze multiple datasets simultaneously with shared parameters\u003cbr\u003e\n- Automate repeat analyses with templates, batch processing, and LabTalk\/Python scripting\u003cbr\u003e\n- Produce publication-quality graphs and reports that hold up under peer review\u003c\/p\u003e\n\n\u003cp\u003eNineteen chapters across five parts — Foundations, Statistical Analysis, Curve Fitting, Peak Analysis, and Automation \u0026amp; Publishing Results — take you from importing your first worksheet to defending your last figure, with worked case studies, summary checklists, and practice exercises in every chapter. A glossary, quick-reference menu guide, and troubleshooting appendix round out the book as a reference you'll keep coming back to.\u003c\/p\u003e\n\n\u003cp\u003e**Written for:** graduate students (Master's and PhD), postdoctoral researchers, university instructors building a course or lab-training reference, and research scientists and engineers across physics, chemistry, materials science, and the life sciences who rely on Origin\/OriginPro for statistical analysis and curve fitting but were never formally taught it.\u003c\/p\u003e\n\n\u003cp\u003eDr. rer. nat. Aamir Manzoor holds a doctorate in the natural sciences from the Georg-August-Universität Göttingen, Germany, with a research background in quantitative data analysis and curve-fitting methodology for experimental science.\u003c\/p\u003e\n\n\u003cp\u003eStop guessing whether OriginPro did the right thing. Start knowing.\u003c\/p\u003e","brand":"ANT","offers":[{"title":"Ebook","offer_id":67924510310645,"sku":"YSL52814","price":3.6,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0817\/8774\/8597\/files\/71UnXdCHHGL._SY1500.jpg?v=1793673099","url":"https:\/\/www.newbooks.store\/products\/b0hcb6ll5f","provider":"NewBooks","version":"1.0","type":"link"}