Suggested Topics within your search.
Suggested Topics within your search.
- Statistical methods 707
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281
Crash course statistics. When predictions fail.
Published 2018Subjects: “…Statistics Study and teaching.…”
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282
Crash course statistics. Unsupervised machine learning.
Published 2018Subjects: “…Statistics Study and teaching.…”
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283
Crash course statistics. rules and patterns.
Published 2018Subjects: Full text (MCPHS users only)
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284
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285
Crash course statistics. Controlled experiments.
Published 2018Subjects: “…Statistics Study and teaching.…”
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286
Crash course statistics. Measures of spread.
Published 2018Subjects: “…Statistics Study and teaching.…”
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287
Crash course statistics. Chi-square tests.
Published 2018Subjects: “…Statistics Study and teaching.…”
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288
Crash course statistics. Part 3, Playing with power p-values.
Published 2018Subjects: “…Statistics Study and teaching.…”
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289
Crash course statistics. updating your beliefs with Bayes.
Published 2018Subjects: “…Statistics Study and teaching.…”
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290
Crash course statistics. You know I'm all about that Bayes.
Published 2018Subjects: “…Statistics Study and teaching.…”
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291
Crash course statistics. Fitting models is like Tetris.
Published 2018Subjects: Full text (MCPHS users only)
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292
Crash course statistics. The shape of data distributions.
Published 2018Subjects: “…Statistics Study and teaching.…”
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293
Crash course statistics. T-tests a matched pair made in heaven.
Published 2018Subjects: “…Statistics Study and teaching.…”
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294
Crash course statistics. Correlation doesn't equal causation.
Published 2018Subjects: “…Statistics Study and teaching.…”
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295
Crash course statistics. Bayes in science and everyday life.
Published 2018Subjects: “…Statistics Study and teaching.…”
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296
Crash course statistics. When predictions succeed.
Published 2018Subjects: “…Statistics Study and teaching.…”
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297
Crash course statistics. Neural networks.
Published 2018Subjects: “…Statistics Study and teaching.…”
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298
Crash course statistics. The replication crisis.
Published 2018Subjects: “…Statistics Study and teaching.…”
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299
Crash course statistics. data visualization.
Published 2018Subjects: “…Statistics Study and teaching.…”
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300
Crash course statistics. How P-values help us test hypotheses.
Published 2018Subjects: “…Statistics Study and teaching.…”
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301
Crash course statistics. Geometric distributions and the birthday paradox.
Published 2018Subjects: “…Statistics Study and teaching.…”
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302
Crash course statistics. Henrietta Lacks, the Tuskegee experiment, and ethical data collection.
Published 2018Subjects: Full text (MCPHS users only)
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303
Crash course statistics. The normal distribution.
Published 2018Subjects: “…Statistics Study and teaching.…”
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304
Crash course statistics. dealing with intersectional groups.
Published 2018Subjects: “…Statistics Study and teaching.…”
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305
Crash course statistics. Part 2, Plots, outliers, and Justin Timberlake data visualization.
Published 2018Subjects: “…Statistics Study and teaching.…”
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306
Crash course statistics. P-hacking.
Published 2018Subjects: “…Statistics Study and teaching.…”
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307
Crash course statistics. Big data problems.
Published 2018Subjects: “…Statistics Study and teaching.…”
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308
Applied probability & statistics : for computer science, data science & machine learning /
Published 2022Subjects: Full text (MCPHS users only)
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309
Understanding The New Statistics : Effect Sizes, Confidence Intervals, and Meta-analysis.
Published 2011Table of Contents: “…Understanding The New Statistics Effect Sizes, Confidence Intervals, And Meta-Analysis; Copyright; Contents; Preface; 1. …”
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310
An introduction to statistical computing : a simulation-based approach /
First edition.Published 2013Table of Contents: “…An Introduction to Statistical Computing; Contents; List of algorithms; Preface; Nomenclature; 1 Random number generation; 1.1 Pseudo random number generators; 1.1.1 The linear congruential generator; 1.1.2 Quality of pseudo random number generators; 1.1.3 Pseudo random number generators in practice; 1.2 Discrete distributions; 1.3 The inverse transform method; 1.4 Rejection sampling; 1.4.1 Basic rejection sampling; 1.4.2 Envelope rejection sampling; 1.4.3 Conditional distributions; 1.4.4 Geometric interpretation; 1.5 Transformation of random variables; 1.6 Special-purpose methods.…”
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311
SPSS statistics for dummies /
3rd edition.Published 2015Subjects: Full text (MCPHS users only)
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312
Register-based Statistics : Statistical Methods for Administrative Data.
2nd ed.Published 2014Table of Contents: “…; 2.3 Administrative and statistical information systems; 2.4 Measurement errors in statistical and administrative data; 2.5 Why use administrative data for statistics?…”
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313
Statistical thinking in business /
2nd ed.Published 2006Table of Contents: “…Forecasting; Chapter 11. Statistical Process Control; Chapter 12. Control Charts; Chapter 13. …”
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314
Handbook of Forensic Statistics
Published 2020Table of Contents: “…Cover -- Half Title -- Series Page -- Title Page -- Copyright Page -- Dedication -- Contents -- Foreword -- Preface -- Editors -- Contributors -- Section I: Perspectives on Forensic Statistics -- 1. The History of Forensic Inference and Statistics: A Thematic Perspective -- 1.1 Introduction -- 1.2 Forensic Science and the Evaluation of Evidence -- 1.3 The Need for an Interpretative Model -- 1.4 Support of Judicial Disciplines for a Scientific Presentation of the Value of Evidence -- 1.5 Probability of Proposition Given Evidence and of Evidence Given Proposition…”
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315
Spss For Introductory Statistics : Use and Interpretation.
Published 2004Table of Contents: “…Preface; 1 Variables, Research Problems and Questions; 2 Data Coding, Entry, and Checking; 3 Measurement and Descriptive Statistics; 4 Understanding Your Data and Checking Assumptions; 5 Data File Management; 6 Selecting and Interpreting Inferential Statistics; 7 Cross Tabulation, Chi-Square, and Nonparametric Measures of Association; 8 Correlation and Regression; 9 Comparing Groups with t Tests and Similar Nonparametric Tests; 10 Analysis of Variance (ANOVA); Appendices; For Further Reading; Index.…”
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316
Statistical physics of biomolecules : an introduction /
Published 2010Table of Contents: Full text (MCPHS users only)
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317
The statistics and calculus workshop a comprehensive introduction to mathematics in Python for artificial intelligence applications /
Published 2020Table of Contents: “…Exercise 3.01: Visualizing Weather Percentages -- Numerical Data -- Exercise 3.02: Min-Max Scaling -- Ordinal Data -- Descriptive Statistics -- Central Tendency -- Dispersion -- Exercise 3.03: Visualizing Probability Density Functions -- Python-Related Descriptive Statistics -- Inferential Statistics -- T-Tests -- Correlation Matrix -- Exercise 3.04: Identifying and Testing Equality of Means -- Statistical and Machine Learning Models -- Exercise 3.05: Model Selection -- Python's Other Statistics Tools -- Activity 3.01: Revisiting the Communities and Crimes Dataset -- Summary…”
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318
Statistics done wrong : the woefully complete guide /
Published 2015Table of Contents: “…An introduction to statistical significance -- Statistical power and underpowered statistics -- Pseudoreplication : choose your data wisely -- The p value and the base rate fallacy -- Bad judges of significance -- Double-dipping in the data -- Continuity errors -- Model abuse -- Researcher freedom : good vibrations? …”
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319
Probability & Statistics Workbook : Classroom Edition.
Published 2013Table of Contents: “…Intro -- Title Page -- Copyright Page -- Table of Contents -- Welcome -- to the Ready, Set, Go! Probability and Statistics Workbook! -- Lesson One -- Organizing Data-Part I -- Lesson Two -- Organizing Data-Part 2 -- Lesson Three -- Organizing Data-Part 3 -- Lesson Four -- Measures of Central Tendency-Part 1 -- Lesson Five -- Measures of Central Tendency-Part 2 -- Lesson Six -- Measures of Central Tendency-Part 3 -- Lesson Seven -- Types of Frequency Distributions -- Lesson Eight -- Measures of Position-Part I -- Lesson Nine -- Merasures of Position-Part 2 -- Lesson Ten -- Boxplots -- Lesson Eleven -- Probability Basics -- Lesson Twelve -- Classical and Empirical Probability -- Lesson Thirteen -- Compound Events-Part I -- Lesson Fourteen -- Compound Events-art 2 -- Lesson Fifteen -- Compound Events-Part 3 -- Lesson Sixteen -- Addition Rules for Probability-Part I -- Lesson Seventeen -- Addition Rules for Probability-Part 2 -- Lesson Eighteen -- Counting Methods-Part I -- Lesson Nineteen -- Counting Methods-Part 2 -- Lesson Twenty -- Counting Methods-Part 3 -- Lesson Twenty-one -- Probability-Permutations and Combinations -- CUMULATIVE EXAM -- Workspace -- SCORECARD -- Probability and Statistics.…”
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320
Statistics and data management : a practical guide for orthopaedic surgeons : handbook /
Published 2009Subjects: Full text (MCPHS users only)
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