Pattern Recognition Approach to Data Interpretation
Home > Mathematics and Science Textbooks > Chemistry > Pattern Recognition Approach to Data Interpretation
Pattern Recognition Approach to Data Interpretation

Pattern Recognition Approach to Data Interpretation

|
     0     
5
4
3
2
1




Out of Stock


Notify me when this book is in stock
About the Book

An attempt is made in this book to give scientists a detailed working knowledge of the powerful mathematical tools available to aid in data interpretation, especially when con- fronted with large data sets incorporating many parameters. A minimal amount of com- puter knowledge is necessary for successful applications, and we have tried conscien- tiously to provide this in the appropriate sections and references. Scientific data are now being produced at rates not believed possible ten years ago. A major goal in any sci- entific investigation should be to obtain a critical evaluation of the data generated in a set of experiments in order to extract whatever useful scientific information may be present. Very often, the large number of measurements present in the data set does not make this an easy task. The goals of this book are thus fourfold. The first is to create a useful reference on the applications of these statistical pattern recognition methods to the sciences. The majority of our discussions center around the fields of chemistry, geology, environmen- tal sciences, physics, and the biological and medical sciences. In Chapter IV a section is devoted to each of these fields. Since the applications of pattern recognition tech- niques are essentially unlimited, restricted only by the outer limitations of.

Table of Contents:
I Philosophical Considerations and Computer Packages.- I.1. Philosophical Considerations.- Data Considerations.- Pattern Recognition Approach.- Pattern Recognition Questions.- Pattern Recognition Nomenclature.- Variable Coding.- Categorization of Data.- Considerations to Keep in Mind.- Programs to Be Discussed.- Possible Approaches.- I.2. Biomedical Computer Program (BMDP).- Program Groups.- BMDP Control Language.- I.3. Statistical Package for the Social Sciences (SPSS).- Package Structure.- SPSS Programs.- SPSS Control Language.- I.4. ARTHUR.- ARTHUR Control Language.- ARTHUR Programs.- I.5. CLUSTAN.- CLUSTAN Format.- I.6. SAS.- SAS Programming.- Procedures Available.- II Pattern Recognition Approach to Data Analysis.- II.1. Preliminary Data Examination.- Step II.1a. Computer Compatibility.- Step II.1b. Eliminating Format Errors.- Step II.1c. Data Listing.- Step II.1d. Variable Distributions.- Step II.1e. Identifying Unique Cases.- Step II.1f. Variable Distributions After Elimination.- Step II.1g. Introductory Statistics.- Standard Scores.- II.2. Data Stratification.- t-Tests.- Step II.2a. Comparison of Two Groups.- Analysis of Variance.- Step II.2b. Comparisons of All Groups Simultaneously.- Multiple Way Analysis of Variance.- Step II.2c. Variable Subgroups.- CHI-Square Test.- Other Similar Programs.- II.3. Inter Variable Relationships.- Correlation Coefficients.- Step II.3a. Calculation of Correlation Coefficients.- Correlation Results.- Step II.3b. Bivariate Plots.- Partial Correlations.- Step II.3c. Partial Correlations.- Step II.3d. Clustering of Variables.- Results of the Clustering.- Canonical Correlations.- Step II.3e. Application of Canonical Correlations.- Regression Analysis.- Step II.3f. Regression Analysis.- Stepwise Regression.- Summary.- PLS-2.- Nonparametric Statistics.- II.4. Unsupervised Learning Techniques.- Cluster Analysis.- Data Set Considered.- Step II.4a. Minimal Spanning Tree.- Drawing of the Tree.- Cluster Definition.- Minimal Spanning Tree Results.- Step II.4b. Hierarchical Clustering.- Description of the Dendrogram.- Other Hierarchical Clustering Programs.- Step II.4c. Nonlinear Mapping.- Summary.- Step II.4d. CLUSTAN.- Hierarchical Techniques in CLUSTAN.- Other Clustering Techniques.- Summary.- II.5. Supervised Learning Techniques.- Step II.5a. k-Nearest Neighbors.- Testing Supervised Results.- Step II.5b. Discriminant Analysis.- Results from Discriminant Analysis.- Other Discriminant Programs.- Comparison of Discriminant Programs.- II.6. Variable Reduction.- Tools from Previous Steps.- Step II.6a. Selection of Variables.- Principal Component and Factor Analysis.- Step II.6b. Principal Component Analysis.- Classical Factor Analysis.- Data Considerations.- Factor Choices.- Step II.6c. Classical Factor Analysis.- Factor Rotations.- Underlying Variable Factor Analysis.- II.7. Data Manipulations.- SPSS Capabilities.- BMDP and ARTHUR Alterations.- III Implementation.- III.1. Typical SPSS Runs.- Card Deck.- Data Format Statement.- Missing Data.- Statistical Procedures.- Category Definitions.- File Saving.- III.2. Typical ARTHUR Runs.- Input Card.- Task Definition Cards.- Test Data.- III.3. Typical BMDP Runs.- Card Deck.- Variable Information.- Data Grouping.- III.4. Spss Implementations.- Cancorr.- Condescriptive.- Crosstabs.- Discriminant.- Factor.- Frequencies.- Nonpar CORR.- Partial CORR.- Pearson CORR.- Regression.- Scattergram.- T-Test.- III.5. ARTHUR Implementations.- Correl.- Distance.- Hier.- Karlov.- KNN.- Multi.- NLM.- Plane.- Scale.- Select.- Tree.- Varvar.- Weight.- III.6. BMDP Programs.- BMDP1D.- BMDP2D.- BMDP3D.- BMDP4D.- BMDP5D.- BMDP6D.- BMDP1M.- BMDP2M.- BMDP4M.- BMDP6M.- BMDP7M.- BMDP1R.- BMDP2R.- BMDP4R.- BMDP6R.- BMDP3S.- IV Natural Science Applications.- Biological Applications.- Medical Applications.- Geological and Earth Science Applications.- Environmental Applications.- Physics Applications.- Chemical Applications.- Summary.- References.- Appendix I. Pattern Recognition Definitions and Reference Books.- Appendix II. The Multivariate Normal Distribution.- Appendix III. Data Base Description.- Appendix IV. Indices of BMDP, SPSS, and ARTHUR Packages.- Appendix V. Programs, Manuals, and Reference Information.- Appendix VI. Summary of Analyses and Program Cross-Reference for Chapter II.- Appendix VII. Nonparametric Statistics.- Appendix VIII. Missing Values.- Appendix IX. Standard Scores And Weightings.- Computer Program Index.


Best Sellers


Product Details
  • ISBN-13: 9780306413025
  • Publisher: Springer Science+Business Media
  • Publisher Imprint: Kluwer Academic/Plenum Publishers
  • Language: English
  • ISBN-10: 0306413027
  • Publisher Date: 01 Oct 1983
  • Binding: Hardback
  • Returnable: N


Similar Products

Add Photo
Add Photo

Customer Reviews

REVIEWS      0     
Click Here To Be The First to Review this Product
Pattern Recognition Approach to Data Interpretation
Springer Science+Business Media -
Pattern Recognition Approach to Data Interpretation
Writing guidlines
We want to publish your review, so please:
  • keep your review on the product. Review's that defame author's character will be rejected.
  • Keep your review focused on the product.
  • Avoid writing about customer service. contact us instead if you have issue requiring immediate attention.
  • Refrain from mentioning competitors or the specific price you paid for the product.
  • Do not include any personally identifiable information, such as full names.

Pattern Recognition Approach to Data Interpretation

Required fields are marked with *

Review Title*
Review
    Add Photo Add up to 6 photos
    Would you recommend this product to a friend?
    Tag this Book Read more
    Does your review contain spoilers?
    What type of reader best describes you?
    I agree to the terms & conditions
    You may receive emails regarding this submission. Any emails will include the ability to opt-out of future communications.

    CUSTOMER RATINGS AND REVIEWS AND QUESTIONS AND ANSWERS TERMS OF USE

    These Terms of Use govern your conduct associated with the Customer Ratings and Reviews and/or Questions and Answers service offered by Bookswagon (the "CRR Service").


    By submitting any content to Bookswagon, you guarantee that:
    • You are the sole author and owner of the intellectual property rights in the content;
    • All "moral rights" that you may have in such content have been voluntarily waived by you;
    • All content that you post is accurate;
    • You are at least 13 years old;
    • Use of the content you supply does not violate these Terms of Use and will not cause injury to any person or entity.
    You further agree that you may not submit any content:
    • That is known by you to be false, inaccurate or misleading;
    • That infringes any third party's copyright, patent, trademark, trade secret or other proprietary rights or rights of publicity or privacy;
    • That violates any law, statute, ordinance or regulation (including, but not limited to, those governing, consumer protection, unfair competition, anti-discrimination or false advertising);
    • That is, or may reasonably be considered to be, defamatory, libelous, hateful, racially or religiously biased or offensive, unlawfully threatening or unlawfully harassing to any individual, partnership or corporation;
    • For which you were compensated or granted any consideration by any unapproved third party;
    • That includes any information that references other websites, addresses, email addresses, contact information or phone numbers;
    • That contains any computer viruses, worms or other potentially damaging computer programs or files.
    You agree to indemnify and hold Bookswagon (and its officers, directors, agents, subsidiaries, joint ventures, employees and third-party service providers, including but not limited to Bazaarvoice, Inc.), harmless from all claims, demands, and damages (actual and consequential) of every kind and nature, known and unknown including reasonable attorneys' fees, arising out of a breach of your representations and warranties set forth above, or your violation of any law or the rights of a third party.


    For any content that you submit, you grant Bookswagon a perpetual, irrevocable, royalty-free, transferable right and license to use, copy, modify, delete in its entirety, adapt, publish, translate, create derivative works from and/or sell, transfer, and/or distribute such content and/or incorporate such content into any form, medium or technology throughout the world without compensation to you. Additionally,  Bookswagon may transfer or share any personal information that you submit with its third-party service providers, including but not limited to Bazaarvoice, Inc. in accordance with  Privacy Policy


    All content that you submit may be used at Bookswagon's sole discretion. Bookswagon reserves the right to change, condense, withhold publication, remove or delete any content on Bookswagon's website that Bookswagon deems, in its sole discretion, to violate the content guidelines or any other provision of these Terms of Use.  Bookswagon does not guarantee that you will have any recourse through Bookswagon to edit or delete any content you have submitted. Ratings and written comments are generally posted within two to four business days. However, Bookswagon reserves the right to remove or to refuse to post any submission to the extent authorized by law. You acknowledge that you, not Bookswagon, are responsible for the contents of your submission. None of the content that you submit shall be subject to any obligation of confidence on the part of Bookswagon, its agents, subsidiaries, affiliates, partners or third party service providers (including but not limited to Bazaarvoice, Inc.)and their respective directors, officers and employees.

    Accept

    New Arrivals

    Inspired by your browsing history


    Your review has been submitted!

    You've already reviewed this product!