CMI Data Science Entrance Books [Pdf] and Free Resources

Indian Institute of Technology is one of the top statistics departments in the country with great research and placement opportunities. It conducts an entrance exam for the aspirants who want to pursue a master's in Statistics called the IIT JAM MS Entrance Exam. To crack this exam, the best source of study materials is the right books. So, I am here to provide you the list of useful books for IIT JAM MS Entrance Exam preparation based on Syllabus.

A short note on the IIT JAM MS Entrance Exam: The MS programme offers advance level training in the theory, methods and applications of Statistics along with specialized training in selected areas of Statistics and allied fields. Depending on the area of specialization, students would be able to pursue an academic/research career in Statistics, Mathematics, Economics, Computer Science, and allied fields.

IIT JAM MS Entrance Exams Books according to the syllabus:

As mentioned in the website Entrance Exam mainly consists of 2 topics:

Let's start with the Mathematics books required for IIT JAM MS Entrance Exam Preparation:

High School Mathematics - The mathematics part is super easy. So just be fluent in your 10+2 syllabus of mathematics and have a piece of sound knowledge in Calculus and Linear Algebra. Also, solve past year problems.

Although High School Mathematics part come less in the examination.

Let's discuss the books for Probability and Statistics Part, breaking it into different subsections according to the syllabus:

  1. Combinatorics and Probability Theory
    1. Book 1: (Chapter 1 - 8) -
      1. A First Course in Probability by Sheldon Ross
      2. Pdf File
    2. Book 2: (Chapter 1 - 7)
      1. An Introduction to Probability and Statistics 
    3. Book 3: (Chapter 1 - 6) [For Quicker Purposes]
      1. Mathematical Statistics and Data Analysis by J.A.Rice
      2.  Pdf File
  2. Linear Algebra
    1. Book: (Chapter 1 - 5, 7)
      1. Linear Algebra and Its Applications by Gilbert Strang
      2. Pdf File 
      3. Lecture Series: Linear Algebra Lecture Series
  3. Calculus and Real Analysis
    1. Book: (Chapter 2, 4, 5, 7)
      1. Understanding Analysis by Stephen Abbott
      2. Pdf File
  4. Statistics
    1. Statistical Inference
      1. Book 1: (Chapter 7, 8, 9)
        1. Statistical Inference by Casella Berger 
        2. Pdf File
      2. Book 2: Chapter (8,9)
        1. Mathematical Statistics and Data Analysis by J.A.Rice
        2.  Pdf File

5. A book named "Solutions to IIT JAM for Mathematical Statistics" by Amit Mishra and Mohd. Arshad covers previous year solutions till 2018. You can consider buying that book for your IIT JAM MS Preparation.

Other Useful Resources

IIT JAM Statistics Crash Course for 2022

Early bird Registration is Going On. Classes start from 1st week of October, 2021.

How Mainack Paul got AIR-2 in IIT JAM MS 2021

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ISI MStat 2020 PSB Problem 8 Solution

ISI MStat 2020 PSB Problem 8 Solution

Problem

Assume that $X_{1}, \ldots, X_{n}$ is a random sample from $N(\mu, 1)$, with $\mu \in \mathbb{R}$. We want to test $H_{0}: \mu=0$ against $H_{1}: \mu=1$. For a fixed integer $m \in{1, \ldots, n}$, the following statistics are defined:

$\begin{aligned} T_{1} &= \frac{\left(X_{1}+\ldots+X_{m}\right)}{m} \\ T_{2} &= \frac{\left(X_{2}+\ldots+X_{m+1}\right)} {m} \\ \vdots &=\vdots \\ T_{n-m+1} &= \frac{\left(X_{n-m+1}+\ldots+X_{n}\right)}{m} . \end{aligned}$

Fix $\alpha \in(0,1)$.

Consider the test

Reject $H_{0}$ if $\max \{T_{i}: 1 \leq i \leq n-m+1\}>c_{m, \alpha}$


Find a choice of $c_{m, \alpha} \in \mathbb{R}$ in terms of the standard normal distribution function $\Phi$ that ensures that the size of the test is at most $\alpha$.

Hint 1

Show that the problem is equivalent to finding that $P_{\mu = 0}(\max \{T_{i}: 1 \leq i \leq n-m+1\}\\>c_{m, \alpha}) \leq \alpha$

Hint 2

$P_{\mu = 0}(\max \{T_{i}: 1 \leq i \leq n-m+1\}\\>c_{m, \alpha})$

$= P_{\mu = 0}( T_1 > c_{m, \alpha} \cup T_2 > c_{m, \alpha} \cdots T_{n-m+1}\\ > c_{m, \alpha})$

Hint 3

Use Boole's Inequality o get

$P_{\mu = 0}( T_1 > c_{m, \alpha} \cup T_2 > c_{m, \alpha} \cdots T_{n-m+1}\\ > c_{m, \alpha}) \leq \sum_{i = 1}^{n-m+1} P(T_i > c_{m, \alpha}) = \alpha $

Hint 4

Show that under $H_0$, $T_i$ ~ $N(0,\frac{1}{m})$. Hence, find $c_{m, \alpha}$

See the full solution below.

Full Solution

Food For Thoughts

IIT JAM MS 2020 Section A Problem 1 Solution

IIT JAM MS 2020 Section A Problem 1 Solution

Problem

If $\{x_{n}\}_{n \geq 1}$ is a sequence of real numbers such that $\lim _{n \rightarrow \infty} \frac{x_{n}}{n}=0.001$, then

(A) $\{x_{n}\}_{n \geq 1}$ is a bounded sequence
(B)$\{x_{n}\}_{n \geq 1}$ is an unbounded sequence
(C) $\{x_{n}\}_{n \geq 1}$ is a convergent sequence
(D) $\{x_{n}\}_{n \geq 1}$ is a monotonically decreasing sequence

Hints

Hint 1

If $\{x_{n}\}_{n \geq 1}$ was bounded, show that $\lim _{n \rightarrow \infty} \frac{x_{n}}{n}=0$, by sandwich theorem.

Hint 2

If $\{x_{n}\}_{n \geq 1}$ was convergent, show that $\lim _{n \rightarrow \infty} \frac{x_{n}}{n}=0$, by algebra of limits.

Hint 3

If $\{x_{n}\}_{n \geq 1}$ was motonotically decreasing and bounded below, then it would have been convergent by Monotone Convergence Theorem.

Let's consider if it is not below below, i.e. $\lim _{n \rightarrow \infty} {x_{n}} = -\infty $

Find the limit in each of this case.

Hence, it will be unbounded. See the full solution and proof idea below.

Full Solution

Food For Thoughts

Is Multivariate Limit = Iterated Limit? Multivariate Limit Demystified

Is Multivariate Limit equal to Iterated Limit?

The multivariate limit is really akin to the univariate limit. But, how can we explain that?

However, We discuss the following aspects in this regard.

📌 Firstly, we discuss the ideas of proving and disprove Univariate Limits.
📌 Then, come Multivariate Limits - How to prove and disprove?
📌 Thereafter, Iterated Limits appear - Understanding and Geometry.
📌 Hence, we discover Relationship between Multivariate Limits and Iterated Limits.
📌 We end with Food for Thought.

Iterated Limits are a bypass. Do they really explain the Multivariate Limit?

We discover a rich relationship between the two. We give all the cases possible between multivariate limits and iterated limits.

Hints, Solution, and More

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